FaceNetTrainingArcFaceLoss.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TrainingFacenetRemontada (1).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/BlaiseMarvin/FaceRecognitionPaymentSystem/blob/main/FaceNetTrainingArcFaceLoss.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8kc6LRT3n1zs"
      },
      "source": [
        "## RE-TRAINING THE FACENET MODEL USING BLACK-FACES"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mA_LhHNC9rpz",
        "outputId": "fb399502-82bf-413d-baad-e32b2339c062"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4kGn24yZZfd7"
      },
      "source": [
        "## The Arcface loss class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGXqL3j-7t_O"
      },
      "source": [
        "import math as m\n",
        "\n",
        "import numpy as np\n",
        "from tqdm import tqdm\n",
        "import math\n",
        "import os\n",
        "\n",
        "import tensorflow as tf\n",
        "\n",
        "import tensorflow.keras\n",
        "from tensorflow.keras.models import *\n",
        "from tensorflow.keras.models import load_model\n",
        "from tensorflow.keras.layers import *\n",
        "from tensorflow.keras.layers import Dense, Flatten, Dropout, Input\n",
        "from tensorflow.keras.optimizers import Adam, RMSprop\n",
        "from tensorflow.keras.metrics import categorical_crossentropy\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras.layers import BatchNormalization\n",
        "from tensorflow.keras.layers import Conv2D\n",
        "from tensorflow.keras.layers import Layer\n",
        "from tensorflow.keras.applications.densenet import DenseNet121\n",
        "from tensorflow.keras.callbacks import *\n",
        "from tensorflow.keras import backend as K\n",
        "from tensorflow.keras import regularizers\n",
        "from tensorflow.keras.metrics import categorical_accuracy\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import Model \n",
        "\n",
        "\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_7G46HMXZeuF"
      },
      "source": [
        "# Original paper: https://arxiv.org/pdf/1801.07698.pdf\n",
        "# Original implementation: https://github.com/deepinsight/insightface\n",
        "# Adapted from tensorflow implementation: https://github.com/luckycallor/InsightFace-tensorflow\n",
        "\n",
        "\n",
        "\n",
        "class ArcFace(Layer):\n",
        "    '''Custom Keras layer implementing ArcFace including:\n",
        "    1. Generation of embeddings\n",
        "    2. Loss function\n",
        "    3. Accuracy function\n",
        "    '''\n",
        "\n",
        "    def __init__(self, output_dim, class_num, margin=0.5, scale=64., **kwargs):\n",
        "        self.output_dim = output_dim\n",
        "        self.class_num = class_num\n",
        "        self.margin = margin\n",
        "        self.s = scale\n",
        "\n",
        "        self.cos_m = tf.math.cos(margin)\n",
        "        self.sin_m = tf.math.sin(margin)\n",
        "        self.mm = self.sin_m * margin\n",
        "        self.threshold = tf.math.cos(tf.constant(m.pi) - margin)\n",
        "        super(ArcFace, self).__init__(**kwargs)\n",
        "\n",
        "\n",
        "    def build(self, input_shape):\n",
        "        # Create a trainable weight variable for this layer.\n",
        "        self.kernel = self.add_weight(name='kernel', \n",
        "                                      shape=(input_shape[1], self.class_num),\n",
        "                                      initializer='glorot_normal',\n",
        "                                      trainable=True)\n",
        "        super(ArcFace, self).build(input_shape)  # Be sure to call this at the end\n",
        "\n",
        "\n",
        "    def call(self, x):\n",
        "        embeddings = tf.nn.l2_normalize(x, axis=1, name='normed_embeddings')\n",
        "        weights = tf.nn.l2_normalize(self.kernel, axis=0, name='normed_weights')\n",
        "        cos_t = tf.matmul(embeddings, weights, name='cos_t')\n",
        "        return cos_t\n",
        "\n",
        "\n",
        "    def get_logits(self, labels, y_pred):\n",
        "        cos_t = y_pred\n",
        "        cos_t2 = tf.square(cos_t, name='cos_2')\n",
        "        sin_t2 = tf.subtract(1., cos_t2, name='sin_2')\n",
        "        sin_t = tf.sqrt(sin_t2, name='sin_t')\n",
        "        cos_mt = self.s * tf.subtract(tf.multiply(cos_t, self.cos_m), tf.multiply(sin_t, self.sin_m), name='cos_mt')\n",
        "        cond_v = cos_t - self.threshold\n",
        "        cond = tf.cast(tf.nn.relu(cond_v, name='if_else'), dtype=tf.bool)\n",
        "        keep_val = self.s*(cos_t - self.mm)\n",
        "        cos_mt_temp = tf.where(cond, cos_mt, keep_val)\n",
        "        mask = tf.one_hot(labels, depth=self.class_num, name='one_hot_mask')\n",
        "        inv_mask = tf.subtract(1., mask, name='inverse_mask')\n",
        "        s_cos_t = tf.multiply(self.s, cos_t, name='scalar_cos_t')\n",
        "        output = tf.add(tf.multiply(s_cos_t, inv_mask), tf.multiply(cos_mt_temp, mask), name='arcface_logits')\n",
        "        return output\n",
        "\n",
        "\n",
        "    def loss(self, y_true, y_pred):\n",
        "        labels = K.argmax(y_true, axis=-1)\n",
        "        logits = self.get_logits(labels, y_pred)\n",
        "        loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)\n",
        "        return loss\n",
        "\n",
        "\n",
        "    def accuracy(self, y_true, y_pred):\n",
        "        labels = K.argmax(y_true, axis=-1)\n",
        "        logits = self.get_logits(labels, y_pred)\n",
        "        accuracy = categorical_accuracy(y_true=labels, y_pred=logits)\n",
        "        return accuracy\n",
        "    \n",
        "\n",
        "    def compute_output_shape(self, input_shape):\n",
        "        return (input_shape[0], self.output_dim)\n",
        "\n"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wPpKDHgpzMWU",
        "outputId": "b738b807-b490-422f-a166-d2ffff012035"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/NewDataset/Aligned/\"\n",
        "count=0\n",
        "for f in listdir(path):\n",
        "  count=0\n",
        "  for nome in listdir(path+f):\n",
        "    count+=1\n",
        "  print(\"Name: \",f,\"count: \",count)\n",
        "\n",
        "\n"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Renal count:  26\n",
            "Name:  Ruth count:  17\n",
            "Name:  Remuneration count:  63\n",
            "Name:  Salvador count:  35\n",
            "Name:  Sandra count:  35\n",
            "Name:  Vanny count:  30\n",
            "Name:  Peterson count:  44\n",
            "Name:  Samson count:  64\n",
            "Name:  Raymond count:  18\n",
            "Name:  Pesh count:  42\n",
            "Name:  Ntale count:  37\n",
            "Name:  Onyango count:  36\n",
            "Name:  Owor count:  46\n",
            "Name:  Nabata count:  46\n",
            "Name:  Mbonye count:  60\n",
            "Name:  Namubiru count:  50\n",
            "Name:  Mcvex count:  48\n",
            "Name:  Menk count:  52\n",
            "Name:  Nabwiso count:  55\n",
            "Name:  Nduhukire count:  53\n",
            "Name:  KenMugabi count:  48\n",
            "Name:  Marcus count:  43\n",
            "Name:  Malaika count:  55\n",
            "Name:  Maurice count:  32\n",
            "Name:  Lynda count:  46\n",
            "Name:  Katatumba count:  61\n",
            "Name:  Lucky count:  57\n",
            "Name:  Martha count:  38\n",
            "Name:  Maritza count:  62\n",
            "Name:  Lydia count:  71\n",
            "Name:  Kanyomozi count:  77\n",
            "Name:  Katamba count:  36\n",
            "Name:  Kansiime count:  32\n",
            "Name:  Julian count:  63\n",
            "Name:  Judithiana count:  50\n",
            "Name:  Kabuura count:  23\n",
            "Name:  Karungi count:  41\n",
            "Name:  GNL count:  25\n",
            "Name:  Jazmine count:  51\n",
            "Name:  Kabareebe count:  52\n",
            "Name:  Farid count:  71\n",
            "Name:  Desire count:  71\n",
            "Name:  Dorothy count:  18\n",
            "Name:  Cleopatra count:  37\n",
            "Name:  Gaetanok count:  33\n",
            "Name:  Daniel count:  73\n",
            "Name:  Diana count:  52\n",
            "Name:  Cindy count:  50\n",
            "Name:  Canary count:  39\n",
            "Name:  Gamzi count:  26\n",
            "Name:  Abenaki count:  48\n",
            "Name:  Alex count:  32\n",
            "Name:  Barbie count:  25\n",
            "Name:  Becky count:  36\n",
            "Name:  Brian count:  38\n",
            "Name:  Apass count:  26\n",
            "Name:  Babygloria count:  50\n",
            "Name:  Bettina count:  66\n",
            "Name:  Aloyo count:  48\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K4HiJlgE0JUU",
        "outputId": "b7ced947-c571-496d-97f2-e3112842681c"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/NewDataset/AlignedVal/\"\n",
        "count=0\n",
        "for f in listdir(path):\n",
        "  count=0\n",
        "  for nome in listdir(path+f):\n",
        "    count+=1\n",
        "  print(\"Name: \",f,\"count: \",count)"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Vanny count:  13\n",
            "Name:  Sandra count:  9\n",
            "Name:  Peterson count:  10\n",
            "Name:  Remuneration count:  19\n",
            "Name:  Renal count:  7\n",
            "Name:  Samson count:  21\n",
            "Name:  Pesh count:  11\n",
            "Name:  Ruth count:  6\n",
            "Name:  Salvador count:  8\n",
            "Name:  Owor count:  9\n",
            "Name:  Raymond count:  4\n",
            "Name:  Onyango count:  7\n",
            "Name:  Namubiru count:  9\n",
            "Name:  Nduhukire count:  8\n",
            "Name:  Nabata count:  20\n",
            "Name:  Ntale count:  8\n",
            "Name:  Mbonye count:  13\n",
            "Name:  Nabwiso count:  19\n",
            "Name:  Maurice count:  6\n",
            "Name:  Mcvex count:  7\n",
            "Name:  Menk count:  10\n",
            "Name:  Martha count:  6\n",
            "Name:  Katatumba count:  19\n",
            "Name:  KenMugabi count:  8\n",
            "Name:  Lucky count:  16\n",
            "Name:  Malaika count:  10\n",
            "Name:  Maritza count:  12\n",
            "Name:  Katamba count:  10\n",
            "Name:  Marcus count:  8\n",
            "Name:  Lynda count:  7\n",
            "Name:  Lydia count:  11\n",
            "Name:  Karungi count:  7\n",
            "Name:  Kabuura count:  6\n",
            "Name:  Jazmine count:  9\n",
            "Name:  Kabareebe count:  9\n",
            "Name:  Kansiime count:  7\n",
            "Name:  GNL count:  7\n",
            "Name:  Julian count:  10\n",
            "Name:  Judithiana count:  12\n",
            "Name:  Kanyomozi count:  12\n",
            "Name:  Gamzi count:  6\n",
            "Name:  Gaetanok count:  4\n",
            "Name:  Farid count:  17\n",
            "Name:  Desire count:  21\n",
            "Name:  Canary count:  16\n",
            "Name:  Daniel count:  17\n",
            "Name:  Brian count:  5\n",
            "Name:  Dorothy count:  3\n",
            "Name:  Diana count:  9\n",
            "Name:  Cleopatra count:  10\n",
            "Name:  Cindy count:  16\n",
            "Name:  Bettina count:  14\n",
            "Name:  Abenaki count:  10\n",
            "Name:  Alex count:  4\n",
            "Name:  Becky count:  10\n",
            "Name:  Babygloria count:  9\n",
            "Name:  Barbie count:  3\n",
            "Name:  Aloyo count:  12\n",
            "Name:  Apass count:  7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Min14FmgoLZ7"
      },
      "source": [
        "#### Setting up the Image Data Generator API"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_oP9GPv9eyP_",
        "outputId": "aff97891-5230-42f0-db03-b6e146717c38"
      },
      "source": [
        "#Import shutil first, this package deletes ipnb_checkpoints files that create a ghost class\n",
        "import shutil\n",
        "#The next step is to delete every ipynb_checkpoints file created by colab\n",
        "#shutil.rmtree(\"/tmp/training/.ipynb_checkpoints\") #be careful with shutil.rmtree() because it deletes every tree in that path. In other words, do not make mistakes.\n",
        "#shutil.rmtree(\"/tmp/testing/.ipynb_checkpoints\")\n",
        "\n",
        "#specify both the training and validation directories\n",
        "TRAINING_DIR=\"/content/drive/MyDrive/NewDataset/Aligned/\"\n",
        "VALIDATION_DIR=\"/content/drive/MyDrive/NewDataset/AlignedVal/\"\n",
        "\n",
        "#Initialize Image Data Generator objects, and rescale the image \n",
        "training_datagen=ImageDataGenerator(rescale=1/255)\n",
        "validation_datagen=ImageDataGenerator(rescale=1/255)\n",
        "\n",
        "#Create the image generators that create the create the classes for all images uploaded\n",
        "training_generator=training_datagen.flow_from_directory(TRAINING_DIR,class_mode='categorical',target_size=(160,160), shuffle=False)\n",
        "validation_generator=validation_datagen.flow_from_directory(VALIDATION_DIR,class_mode='categorical',target_size=(160,160), shuffle=False, batch_size=1)\n",
        "\n",
        "#Load the facenet model architecture\n",
        "#model=load_model('/tmp/facenet/facenet_keras.h5')\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 2659 images belonging to 59 classes.\n",
            "Found 603 images belonging to 59 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xni0h7FSQ7oq"
      },
      "source": [
        "## Loading the facenet Model architecture"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IAs1PSgVLNP0",
        "outputId": "17b75743-1c1a-48a6-f6a2-2c97cb30b563"
      },
      "source": [
        "model=load_model('/content/drive/MyDrive/facenet_keras (1).h5')\n",
        "#A summary of the model architecture\n",
        "model.summary()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n",
            "Model: \"inception_resnet_v1\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck_BatchNorm (BatchNorm (None, 128)          384         Bottleneck[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,808,144\n",
            "Trainable params: 22,779,312\n",
            "Non-trainable params: 28,832\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rH7-R2Iz6LQy",
        "outputId": "d3b09a91-91ed-4a55-bc90-d0bbf6d0bdd7"
      },
      "source": [
        "print(\"Number of layers in the base model: \", len(model.layers))"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of layers in the base model:  426\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWNkmU4SEBEm"
      },
      "source": [
        "local_weights_file='/content/drive/MyDrive/facenet_keras_weights.h5'\n",
        "model.load_weights(local_weights_file)\n",
        "\n",
        "for layer in model.layers:\n",
        "  layer.trainable=False"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yjnsrv9Vhpau"
      },
      "source": [
        "#Specify the last layer from the architecture, that you actually want\n",
        "last_layer=model.get_layer('Bottleneck')\n",
        "last_output=last_layer.output"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SyOcetAV_xoP",
        "outputId": "01a8222f-0d26-4c87-d893-7bc5546cd108"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"inception_resnet_v1\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck_BatchNorm (BatchNorm (None, 128)          384         Bottleneck[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,808,144\n",
            "Trainable params: 0\n",
            "Non-trainable params: 22,808,144\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NSQETUqLmN1n"
      },
      "source": [
        "#Code from arcface repo\n",
        "\n",
        "#customizable arcface layer\n",
        "af_layer = ArcFace(output_dim=128, class_num=128, margin=0.5, scale=64.)\n",
        "\n",
        "arcface_output = af_layer(last_output)\n",
        "x=layers.Flatten()(arcface_output)\n",
        "#print(arcface_output)\n",
        "x = Dropout(rate=0.3)(x)\n",
        "\n",
        "x=layers.Dense(1024,activation='relu')(arcface_output)\n",
        "\n",
        "x=layers.Dense(512,activation='relu')(x)\n",
        "x = Dropout(rate=0.5)(x)\n",
        "x=layers.Dense(128,activation='relu')(x)\n",
        "x=layers.Dense(59,activation='softmax')(arcface_output)\n",
        "\n",
        "model=Model(model.input,x)\n",
        "model.compile(optimizer=RMSprop(learning_rate=0.0001),loss='categorical_crossentropy',metrics=['accuracy',tf.keras.metrics.AUC(multi_label = True), tf.keras.metrics.Recall(),tf.keras.metrics.Precision()])"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4SAQo-oSnM1b"
      },
      "source": [
        "early = EarlyStopping(monitor=\"val_loss\", mode=\"min\", patience=20)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oKi3UIyinOxd"
      },
      "source": [
        "reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1,\n",
        "                              patience=2, min_lr=0.00001)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5mqfp8lknYYu"
      },
      "source": [
        "checkpoint_filepath= '/content/drive/MyDrive/Extracted/Model'\n",
        "model_checkpoint_callback=tf.keras.callbacks.ModelCheckpoint(\n",
        "    filepath=checkpoint_filepath,\n",
        "    save_weights_only=True,\n",
        "    monitor='val_loss',\n",
        "    mode='min',\n",
        "    save_best_only=True)"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qje4VW0jl8d5",
        "outputId": "f804b080-b4c3-40b8-a7c5-b18dcb0a01b8"
      },
      "source": [
        "#training for 500 epochs\n",
        "history=model.fit(training_generator,validation_data=validation_generator,epochs=500,verbose=2, callbacks=[reduce_lr,early,model_checkpoint_callback])"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/500\n",
            "84/84 - 1313s - loss: 4.0820 - accuracy: 0.0158 - auc: 0.4991 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 4.0620 - val_accuracy: 0.0299 - val_auc: 0.5295 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 2/500\n",
            "84/84 - 16s - loss: 4.0588 - accuracy: 0.0188 - auc: 0.5366 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 4.0422 - val_accuracy: 0.0299 - val_auc: 0.5589 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 3/500\n",
            "84/84 - 16s - loss: 4.0383 - accuracy: 0.0308 - auc: 0.5657 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 4.0224 - val_accuracy: 0.0431 - val_auc: 0.5868 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 4/500\n",
            "84/84 - 16s - loss: 4.0175 - accuracy: 0.0451 - auc: 0.5953 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 4.0031 - val_accuracy: 0.0597 - val_auc: 0.6177 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 5/500\n",
            "84/84 - 16s - loss: 3.9970 - accuracy: 0.0700 - auc: 0.6236 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.9837 - val_accuracy: 0.0829 - val_auc: 0.6472 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 6/500\n",
            "84/84 - 16s - loss: 3.9762 - accuracy: 0.0940 - auc: 0.6577 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.9649 - val_accuracy: 0.1111 - val_auc: 0.6724 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 7/500\n",
            "84/84 - 26s - loss: 3.9561 - accuracy: 0.1316 - auc: 0.6866 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.9452 - val_accuracy: 0.1343 - val_auc: 0.6986 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 8/500\n",
            "84/84 - 16s - loss: 3.9355 - accuracy: 0.1628 - auc: 0.7113 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.9259 - val_accuracy: 0.1708 - val_auc: 0.7239 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 9/500\n",
            "84/84 - 16s - loss: 3.9145 - accuracy: 0.1952 - auc: 0.7387 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.9065 - val_accuracy: 0.2073 - val_auc: 0.7589 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 10/500\n",
            "84/84 - 16s - loss: 3.8936 - accuracy: 0.2256 - auc: 0.7677 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8868 - val_accuracy: 0.2405 - val_auc: 0.7822 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 11/500\n",
            "84/84 - 16s - loss: 3.8732 - accuracy: 0.2572 - auc: 0.7913 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8667 - val_accuracy: 0.2703 - val_auc: 0.7952 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 12/500\n",
            "84/84 - 16s - loss: 3.8526 - accuracy: 0.2896 - auc: 0.8103 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8478 - val_accuracy: 0.2952 - val_auc: 0.8109 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 13/500\n",
            "84/84 - 16s - loss: 3.8316 - accuracy: 0.3170 - auc: 0.8308 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8283 - val_accuracy: 0.3250 - val_auc: 0.8333 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 14/500\n",
            "84/84 - 16s - loss: 3.8111 - accuracy: 0.3407 - auc: 0.8460 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.8094 - val_accuracy: 0.3400 - val_auc: 0.8453 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 15/500\n",
            "84/84 - 16s - loss: 3.7902 - accuracy: 0.3629 - auc: 0.8632 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7902 - val_accuracy: 0.3582 - val_auc: 0.8597 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 16/500\n",
            "84/84 - 16s - loss: 3.7699 - accuracy: 0.3817 - auc: 0.8756 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7707 - val_accuracy: 0.3798 - val_auc: 0.8673 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 17/500\n",
            "84/84 - 16s - loss: 3.7497 - accuracy: 0.3862 - auc: 0.8858 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7514 - val_accuracy: 0.3864 - val_auc: 0.8786 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 18/500\n",
            "84/84 - 16s - loss: 3.7287 - accuracy: 0.4107 - auc: 0.8943 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7314 - val_accuracy: 0.4030 - val_auc: 0.8899 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 19/500\n",
            "84/84 - 16s - loss: 3.7075 - accuracy: 0.4193 - auc: 0.9042 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.7118 - val_accuracy: 0.4046 - val_auc: 0.8950 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 20/500\n",
            "84/84 - 16s - loss: 3.6872 - accuracy: 0.4269 - auc: 0.9089 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6926 - val_accuracy: 0.4196 - val_auc: 0.9015 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 21/500\n",
            "84/84 - 16s - loss: 3.6660 - accuracy: 0.4408 - auc: 0.9162 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6727 - val_accuracy: 0.4196 - val_auc: 0.9036 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 22/500\n",
            "84/84 - 16s - loss: 3.6450 - accuracy: 0.4449 - auc: 0.9204 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6530 - val_accuracy: 0.4245 - val_auc: 0.9075 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 23/500\n",
            "84/84 - 16s - loss: 3.6241 - accuracy: 0.4498 - auc: 0.9263 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6340 - val_accuracy: 0.4245 - val_auc: 0.9104 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 24/500\n",
            "84/84 - 16s - loss: 3.6040 - accuracy: 0.4524 - auc: 0.9305 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.6145 - val_accuracy: 0.4279 - val_auc: 0.9138 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 25/500\n",
            "84/84 - 16s - loss: 3.5828 - accuracy: 0.4648 - auc: 0.9359 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5951 - val_accuracy: 0.4312 - val_auc: 0.9163 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 26/500\n",
            "84/84 - 16s - loss: 3.5628 - accuracy: 0.4618 - auc: 0.9397 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5762 - val_accuracy: 0.4345 - val_auc: 0.9210 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 27/500\n",
            "84/84 - 16s - loss: 3.5424 - accuracy: 0.4709 - auc: 0.9420 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5573 - val_accuracy: 0.4428 - val_auc: 0.9270 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 28/500\n",
            "84/84 - 16s - loss: 3.5216 - accuracy: 0.4720 - auc: 0.9454 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5382 - val_accuracy: 0.4395 - val_auc: 0.9319 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 29/500\n",
            "84/84 - 16s - loss: 3.5025 - accuracy: 0.4863 - auc: 0.9496 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5199 - val_accuracy: 0.4461 - val_auc: 0.9364 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 30/500\n",
            "84/84 - 16s - loss: 3.4830 - accuracy: 0.4761 - auc: 0.9518 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.5009 - val_accuracy: 0.4395 - val_auc: 0.9391 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 31/500\n",
            "84/84 - 16s - loss: 3.4633 - accuracy: 0.4750 - auc: 0.9548 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4831 - val_accuracy: 0.4411 - val_auc: 0.9404 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 32/500\n",
            "84/84 - 16s - loss: 3.4427 - accuracy: 0.4788 - auc: 0.9560 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4649 - val_accuracy: 0.4411 - val_auc: 0.9434 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 33/500\n",
            "84/84 - 16s - loss: 3.4251 - accuracy: 0.4716 - auc: 0.9586 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4476 - val_accuracy: 0.4428 - val_auc: 0.9450 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 34/500\n",
            "84/84 - 16s - loss: 3.4055 - accuracy: 0.4803 - auc: 0.9593 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4303 - val_accuracy: 0.4444 - val_auc: 0.9479 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 35/500\n",
            "84/84 - 16s - loss: 3.3866 - accuracy: 0.4821 - auc: 0.9612 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.4127 - val_accuracy: 0.4511 - val_auc: 0.9490 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 36/500\n",
            "84/84 - 16s - loss: 3.3671 - accuracy: 0.4844 - auc: 0.9633 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3951 - val_accuracy: 0.4527 - val_auc: 0.9498 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 37/500\n",
            "84/84 - 16s - loss: 3.3496 - accuracy: 0.4863 - auc: 0.9643 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3787 - val_accuracy: 0.4478 - val_auc: 0.9482 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 38/500\n",
            "84/84 - 16s - loss: 3.3310 - accuracy: 0.4938 - auc: 0.9672 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3615 - val_accuracy: 0.4544 - val_auc: 0.9498 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 39/500\n",
            "84/84 - 16s - loss: 3.3128 - accuracy: 0.4897 - auc: 0.9686 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3449 - val_accuracy: 0.4478 - val_auc: 0.9523 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 40/500\n",
            "84/84 - 16s - loss: 3.2940 - accuracy: 0.4976 - auc: 0.9697 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3283 - val_accuracy: 0.4577 - val_auc: 0.9523 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 41/500\n",
            "84/84 - 16s - loss: 3.2761 - accuracy: 0.4942 - auc: 0.9714 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.3113 - val_accuracy: 0.4594 - val_auc: 0.9533 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 42/500\n",
            "84/84 - 16s - loss: 3.2591 - accuracy: 0.5055 - auc: 0.9715 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2953 - val_accuracy: 0.4677 - val_auc: 0.9543 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 43/500\n",
            "84/84 - 16s - loss: 3.2419 - accuracy: 0.5081 - auc: 0.9732 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2793 - val_accuracy: 0.4677 - val_auc: 0.9544 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 44/500\n",
            "84/84 - 16s - loss: 3.2246 - accuracy: 0.5047 - auc: 0.9741 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2634 - val_accuracy: 0.4743 - val_auc: 0.9558 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 45/500\n",
            "84/84 - 16s - loss: 3.2073 - accuracy: 0.5066 - auc: 0.9748 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2477 - val_accuracy: 0.4726 - val_auc: 0.9559 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 46/500\n",
            "84/84 - 16s - loss: 3.1909 - accuracy: 0.5070 - auc: 0.9758 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2324 - val_accuracy: 0.4760 - val_auc: 0.9569 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 47/500\n",
            "84/84 - 16s - loss: 3.1743 - accuracy: 0.5152 - auc: 0.9766 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2168 - val_accuracy: 0.4859 - val_auc: 0.9570 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 48/500\n",
            "84/84 - 16s - loss: 3.1583 - accuracy: 0.5156 - auc: 0.9770 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.2024 - val_accuracy: 0.4842 - val_auc: 0.9590 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 49/500\n",
            "84/84 - 16s - loss: 3.1438 - accuracy: 0.5269 - auc: 0.9779 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1878 - val_accuracy: 0.4859 - val_auc: 0.9588 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 50/500\n",
            "84/84 - 16s - loss: 3.1283 - accuracy: 0.5254 - auc: 0.9778 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1735 - val_accuracy: 0.4892 - val_auc: 0.9600 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 51/500\n",
            "84/84 - 16s - loss: 3.1140 - accuracy: 0.5265 - auc: 0.9779 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1595 - val_accuracy: 0.4892 - val_auc: 0.9598 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 52/500\n",
            "84/84 - 16s - loss: 3.0977 - accuracy: 0.5273 - auc: 0.9786 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1453 - val_accuracy: 0.4942 - val_auc: 0.9607 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 53/500\n",
            "84/84 - 16s - loss: 3.0824 - accuracy: 0.5333 - auc: 0.9786 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1307 - val_accuracy: 0.4959 - val_auc: 0.9611 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 54/500\n",
            "84/84 - 16s - loss: 3.0686 - accuracy: 0.5318 - auc: 0.9791 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1169 - val_accuracy: 0.4959 - val_auc: 0.9615 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 55/500\n",
            "84/84 - 16s - loss: 3.0544 - accuracy: 0.5352 - auc: 0.9799 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.1034 - val_accuracy: 0.5008 - val_auc: 0.9626 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 56/500\n",
            "84/84 - 16s - loss: 3.0394 - accuracy: 0.5363 - auc: 0.9803 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0908 - val_accuracy: 0.4975 - val_auc: 0.9625 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 57/500\n",
            "84/84 - 16s - loss: 3.0263 - accuracy: 0.5449 - auc: 0.9814 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0783 - val_accuracy: 0.5091 - val_auc: 0.9629 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 58/500\n",
            "84/84 - 16s - loss: 3.0117 - accuracy: 0.5442 - auc: 0.9806 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0657 - val_accuracy: 0.5124 - val_auc: 0.9635 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 59/500\n",
            "84/84 - 16s - loss: 2.9982 - accuracy: 0.5502 - auc: 0.9814 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0530 - val_accuracy: 0.5174 - val_auc: 0.9641 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 60/500\n",
            "84/84 - 16s - loss: 2.9858 - accuracy: 0.5558 - auc: 0.9818 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0405 - val_accuracy: 0.5191 - val_auc: 0.9646 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 61/500\n",
            "84/84 - 16s - loss: 2.9729 - accuracy: 0.5521 - auc: 0.9817 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0291 - val_accuracy: 0.5207 - val_auc: 0.9646 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 62/500\n",
            "84/84 - 16s - loss: 2.9594 - accuracy: 0.5604 - auc: 0.9824 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0173 - val_accuracy: 0.5274 - val_auc: 0.9655 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 63/500\n",
            "84/84 - 16s - loss: 2.9475 - accuracy: 0.5668 - auc: 0.9821 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 3.0054 - val_accuracy: 0.5274 - val_auc: 0.9657 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 64/500\n",
            "84/84 - 16s - loss: 2.9335 - accuracy: 0.5724 - auc: 0.9828 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9934 - val_accuracy: 0.5323 - val_auc: 0.9655 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 65/500\n",
            "84/84 - 17s - loss: 2.9220 - accuracy: 0.5739 - auc: 0.9828 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9815 - val_accuracy: 0.5373 - val_auc: 0.9657 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 66/500\n",
            "84/84 - 17s - loss: 2.9088 - accuracy: 0.5762 - auc: 0.9840 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9700 - val_accuracy: 0.5390 - val_auc: 0.9662 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 67/500\n",
            "84/84 - 17s - loss: 2.8976 - accuracy: 0.5747 - auc: 0.9841 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9589 - val_accuracy: 0.5439 - val_auc: 0.9663 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 68/500\n",
            "84/84 - 16s - loss: 2.8871 - accuracy: 0.5750 - auc: 0.9846 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9479 - val_accuracy: 0.5506 - val_auc: 0.9668 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 69/500\n",
            "84/84 - 16s - loss: 2.8753 - accuracy: 0.5792 - auc: 0.9842 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9378 - val_accuracy: 0.5556 - val_auc: 0.9674 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 70/500\n",
            "84/84 - 16s - loss: 2.8633 - accuracy: 0.5867 - auc: 0.9846 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9271 - val_accuracy: 0.5539 - val_auc: 0.9679 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 71/500\n",
            "84/84 - 16s - loss: 2.8522 - accuracy: 0.5844 - auc: 0.9843 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9172 - val_accuracy: 0.5572 - val_auc: 0.9679 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 72/500\n",
            "84/84 - 16s - loss: 2.8416 - accuracy: 0.5908 - auc: 0.9847 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.9070 - val_accuracy: 0.5589 - val_auc: 0.9684 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 73/500\n",
            "84/84 - 16s - loss: 2.8311 - accuracy: 0.5920 - auc: 0.9850 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8965 - val_accuracy: 0.5688 - val_auc: 0.9685 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 74/500\n",
            "84/84 - 16s - loss: 2.8203 - accuracy: 0.5987 - auc: 0.9850 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8877 - val_accuracy: 0.5688 - val_auc: 0.9684 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 75/500\n",
            "84/84 - 16s - loss: 2.8084 - accuracy: 0.5935 - auc: 0.9852 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8775 - val_accuracy: 0.5672 - val_auc: 0.9686 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 76/500\n",
            "84/84 - 16s - loss: 2.7992 - accuracy: 0.6014 - auc: 0.9859 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8683 - val_accuracy: 0.5738 - val_auc: 0.9689 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 77/500\n",
            "84/84 - 16s - loss: 2.7891 - accuracy: 0.6029 - auc: 0.9852 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8591 - val_accuracy: 0.5788 - val_auc: 0.9688 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 78/500\n",
            "84/84 - 16s - loss: 2.7799 - accuracy: 0.5998 - auc: 0.9861 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8497 - val_accuracy: 0.5788 - val_auc: 0.9691 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 79/500\n",
            "84/84 - 16s - loss: 2.7697 - accuracy: 0.5972 - auc: 0.9867 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8414 - val_accuracy: 0.5755 - val_auc: 0.9697 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 80/500\n",
            "84/84 - 16s - loss: 2.7603 - accuracy: 0.6047 - auc: 0.9864 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8323 - val_accuracy: 0.5738 - val_auc: 0.9696 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 81/500\n",
            "84/84 - 16s - loss: 2.7515 - accuracy: 0.6051 - auc: 0.9861 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8238 - val_accuracy: 0.5788 - val_auc: 0.9699 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 82/500\n",
            "84/84 - 16s - loss: 2.7428 - accuracy: 0.6070 - auc: 0.9868 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8153 - val_accuracy: 0.5804 - val_auc: 0.9701 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 83/500\n",
            "84/84 - 16s - loss: 2.7329 - accuracy: 0.6119 - auc: 0.9869 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.8066 - val_accuracy: 0.5821 - val_auc: 0.9702 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 84/500\n",
            "84/84 - 16s - loss: 2.7243 - accuracy: 0.6134 - auc: 0.9875 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7990 - val_accuracy: 0.5821 - val_auc: 0.9708 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 85/500\n",
            "84/84 - 16s - loss: 2.7151 - accuracy: 0.6126 - auc: 0.9872 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7907 - val_accuracy: 0.5837 - val_auc: 0.9713 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 86/500\n",
            "84/84 - 16s - loss: 2.7060 - accuracy: 0.6217 - auc: 0.9873 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7821 - val_accuracy: 0.5887 - val_auc: 0.9710 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 87/500\n",
            "84/84 - 16s - loss: 2.6978 - accuracy: 0.6258 - auc: 0.9879 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7736 - val_accuracy: 0.5954 - val_auc: 0.9714 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 88/500\n",
            "84/84 - 16s - loss: 2.6892 - accuracy: 0.6220 - auc: 0.9879 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7659 - val_accuracy: 0.5970 - val_auc: 0.9718 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 89/500\n",
            "84/84 - 16s - loss: 2.6804 - accuracy: 0.6266 - auc: 0.9883 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7581 - val_accuracy: 0.5987 - val_auc: 0.9717 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 90/500\n",
            "84/84 - 16s - loss: 2.6733 - accuracy: 0.6247 - auc: 0.9883 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7510 - val_accuracy: 0.5970 - val_auc: 0.9720 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 91/500\n",
            "84/84 - 16s - loss: 2.6640 - accuracy: 0.6329 - auc: 0.9881 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7432 - val_accuracy: 0.6020 - val_auc: 0.9719 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 92/500\n",
            "84/84 - 16s - loss: 2.6579 - accuracy: 0.6273 - auc: 0.9883 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7362 - val_accuracy: 0.6070 - val_auc: 0.9719 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 93/500\n",
            "84/84 - 16s - loss: 2.6493 - accuracy: 0.6266 - auc: 0.9886 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7287 - val_accuracy: 0.6036 - val_auc: 0.9722 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 94/500\n",
            "84/84 - 16s - loss: 2.6407 - accuracy: 0.6352 - auc: 0.9885 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7214 - val_accuracy: 0.6053 - val_auc: 0.9717 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 95/500\n",
            "84/84 - 16s - loss: 2.6329 - accuracy: 0.6375 - auc: 0.9889 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7144 - val_accuracy: 0.6153 - val_auc: 0.9725 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 96/500\n",
            "84/84 - 16s - loss: 2.6250 - accuracy: 0.6360 - auc: 0.9888 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7078 - val_accuracy: 0.6136 - val_auc: 0.9720 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 97/500\n",
            "84/84 - 16s - loss: 2.6188 - accuracy: 0.6420 - auc: 0.9887 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.7007 - val_accuracy: 0.6136 - val_auc: 0.9723 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 98/500\n",
            "84/84 - 16s - loss: 2.6122 - accuracy: 0.6375 - auc: 0.9889 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6944 - val_accuracy: 0.6119 - val_auc: 0.9725 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 99/500\n",
            "84/84 - 16s - loss: 2.6052 - accuracy: 0.6442 - auc: 0.9889 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6877 - val_accuracy: 0.6119 - val_auc: 0.9729 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 100/500\n",
            "84/84 - 16s - loss: 2.5968 - accuracy: 0.6412 - auc: 0.9894 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6810 - val_accuracy: 0.6136 - val_auc: 0.9731 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 101/500\n",
            "84/84 - 16s - loss: 2.5900 - accuracy: 0.6472 - auc: 0.9893 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6741 - val_accuracy: 0.6202 - val_auc: 0.9730 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 102/500\n",
            "84/84 - 16s - loss: 2.5845 - accuracy: 0.6480 - auc: 0.9890 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6677 - val_accuracy: 0.6186 - val_auc: 0.9730 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 103/500\n",
            "84/84 - 16s - loss: 2.5770 - accuracy: 0.6495 - auc: 0.9896 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6614 - val_accuracy: 0.6219 - val_auc: 0.9732 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 104/500\n",
            "84/84 - 16s - loss: 2.5711 - accuracy: 0.6484 - auc: 0.9895 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6551 - val_accuracy: 0.6202 - val_auc: 0.9730 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 105/500\n",
            "84/84 - 16s - loss: 2.5630 - accuracy: 0.6581 - auc: 0.9899 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6486 - val_accuracy: 0.6219 - val_auc: 0.9730 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 106/500\n",
            "84/84 - 16s - loss: 2.5565 - accuracy: 0.6585 - auc: 0.9897 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6419 - val_accuracy: 0.6219 - val_auc: 0.9736 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 107/500\n",
            "84/84 - 16s - loss: 2.5493 - accuracy: 0.6615 - auc: 0.9895 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6365 - val_accuracy: 0.6235 - val_auc: 0.9734 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 108/500\n",
            "84/84 - 16s - loss: 2.5440 - accuracy: 0.6589 - auc: 0.9896 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6313 - val_accuracy: 0.6285 - val_auc: 0.9735 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 109/500\n",
            "84/84 - 16s - loss: 2.5381 - accuracy: 0.6600 - auc: 0.9897 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6261 - val_accuracy: 0.6285 - val_auc: 0.9733 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 110/500\n",
            "84/84 - 16s - loss: 2.5314 - accuracy: 0.6668 - auc: 0.9898 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6206 - val_accuracy: 0.6335 - val_auc: 0.9735 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 111/500\n",
            "84/84 - 16s - loss: 2.5259 - accuracy: 0.6634 - auc: 0.9900 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6149 - val_accuracy: 0.6335 - val_auc: 0.9735 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 112/500\n",
            "84/84 - 16s - loss: 2.5194 - accuracy: 0.6698 - auc: 0.9901 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6088 - val_accuracy: 0.6352 - val_auc: 0.9736 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 113/500\n",
            "84/84 - 16s - loss: 2.5135 - accuracy: 0.6717 - auc: 0.9899 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.6031 - val_accuracy: 0.6352 - val_auc: 0.9740 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 114/500\n",
            "84/84 - 16s - loss: 2.5072 - accuracy: 0.6717 - auc: 0.9904 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5977 - val_accuracy: 0.6352 - val_auc: 0.9741 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 115/500\n",
            "84/84 - 16s - loss: 2.5003 - accuracy: 0.6664 - auc: 0.9899 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5915 - val_accuracy: 0.6368 - val_auc: 0.9741 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 116/500\n",
            "84/84 - 16s - loss: 2.4963 - accuracy: 0.6694 - auc: 0.9903 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5859 - val_accuracy: 0.6385 - val_auc: 0.9740 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 117/500\n",
            "84/84 - 16s - loss: 2.4894 - accuracy: 0.6721 - auc: 0.9900 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5811 - val_accuracy: 0.6385 - val_auc: 0.9730 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 118/500\n",
            "84/84 - 16s - loss: 2.4839 - accuracy: 0.6758 - auc: 0.9902 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5754 - val_accuracy: 0.6385 - val_auc: 0.9731 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 119/500\n",
            "84/84 - 16s - loss: 2.4784 - accuracy: 0.6728 - auc: 0.9905 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5703 - val_accuracy: 0.6434 - val_auc: 0.9733 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 120/500\n",
            "84/84 - 16s - loss: 2.4730 - accuracy: 0.6811 - auc: 0.9903 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5654 - val_accuracy: 0.6484 - val_auc: 0.9731 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 121/500\n",
            "84/84 - 16s - loss: 2.4679 - accuracy: 0.6788 - auc: 0.9904 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5610 - val_accuracy: 0.6468 - val_auc: 0.9731 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 122/500\n",
            "84/84 - 16s - loss: 2.4611 - accuracy: 0.6803 - auc: 0.9903 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5558 - val_accuracy: 0.6534 - val_auc: 0.9734 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 123/500\n",
            "84/84 - 16s - loss: 2.4555 - accuracy: 0.6830 - auc: 0.9906 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5503 - val_accuracy: 0.6534 - val_auc: 0.9735 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 124/500\n",
            "84/84 - 16s - loss: 2.4495 - accuracy: 0.6837 - auc: 0.9903 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5453 - val_accuracy: 0.6551 - val_auc: 0.9735 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 125/500\n",
            "84/84 - 16s - loss: 2.4443 - accuracy: 0.6837 - auc: 0.9909 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5401 - val_accuracy: 0.6534 - val_auc: 0.9736 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 126/500\n",
            "84/84 - 16s - loss: 2.4381 - accuracy: 0.6897 - auc: 0.9909 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5352 - val_accuracy: 0.6584 - val_auc: 0.9736 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 127/500\n",
            "84/84 - 16s - loss: 2.4338 - accuracy: 0.6841 - auc: 0.9911 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5299 - val_accuracy: 0.6584 - val_auc: 0.9739 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 128/500\n",
            "84/84 - 16s - loss: 2.4281 - accuracy: 0.6867 - auc: 0.9912 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5251 - val_accuracy: 0.6600 - val_auc: 0.9740 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 129/500\n",
            "84/84 - 16s - loss: 2.4243 - accuracy: 0.6875 - auc: 0.9907 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5207 - val_accuracy: 0.6584 - val_auc: 0.9742 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 130/500\n",
            "84/84 - 16s - loss: 2.4172 - accuracy: 0.6879 - auc: 0.9910 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5153 - val_accuracy: 0.6600 - val_auc: 0.9741 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 131/500\n",
            "84/84 - 16s - loss: 2.4120 - accuracy: 0.6860 - auc: 0.9913 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5100 - val_accuracy: 0.6617 - val_auc: 0.9742 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 132/500\n",
            "84/84 - 16s - loss: 2.4072 - accuracy: 0.6931 - auc: 0.9910 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5048 - val_accuracy: 0.6617 - val_auc: 0.9741 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 133/500\n",
            "84/84 - 16s - loss: 2.4017 - accuracy: 0.6845 - auc: 0.9914 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.5006 - val_accuracy: 0.6600 - val_auc: 0.9741 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 134/500\n",
            "84/84 - 16s - loss: 2.3958 - accuracy: 0.6942 - auc: 0.9915 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.4956 - val_accuracy: 0.6600 - val_auc: 0.9745 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 135/500\n",
            "84/84 - 16s - loss: 2.3905 - accuracy: 0.6954 - auc: 0.9915 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.4911 - val_accuracy: 0.6600 - val_auc: 0.9742 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 136/500\n",
            "84/84 - 16s - loss: 2.3863 - accuracy: 0.6961 - auc: 0.9910 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.4868 - val_accuracy: 0.6600 - val_auc: 0.9747 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 137/500\n",
            "84/84 - 16s - loss: 2.3812 - accuracy: 0.6976 - auc: 0.9917 - recall: 0.0000e+00 - precision: 0.0000e+00 - val_loss: 2.4825 - val_accuracy: 0.6650 - val_auc: 0.9748 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 138/500\n",
            "84/84 - 16s - loss: 2.3776 - accuracy: 0.6984 - auc: 0.9913 - recall: 7.5216e-04 - precision: 1.0000 - val_loss: 2.4779 - val_accuracy: 0.6617 - val_auc: 0.9748 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 139/500\n",
            "84/84 - 16s - loss: 2.3720 - accuracy: 0.6988 - auc: 0.9916 - recall: 7.5216e-04 - precision: 1.0000 - val_loss: 2.4734 - val_accuracy: 0.6633 - val_auc: 0.9743 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 140/500\n",
            "84/84 - 16s - loss: 2.3662 - accuracy: 0.6954 - auc: 0.9915 - recall: 0.0011 - precision: 1.0000 - val_loss: 2.4689 - val_accuracy: 0.6633 - val_auc: 0.9749 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 141/500\n",
            "84/84 - 16s - loss: 2.3613 - accuracy: 0.7040 - auc: 0.9918 - recall: 0.0011 - precision: 1.0000 - val_loss: 2.4649 - val_accuracy: 0.6633 - val_auc: 0.9750 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 142/500\n",
            "84/84 - 16s - loss: 2.3581 - accuracy: 0.7003 - auc: 0.9918 - recall: 0.0019 - precision: 1.0000 - val_loss: 2.4606 - val_accuracy: 0.6650 - val_auc: 0.9749 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 143/500\n",
            "84/84 - 16s - loss: 2.3522 - accuracy: 0.7025 - auc: 0.9918 - recall: 0.0019 - precision: 1.0000 - val_loss: 2.4569 - val_accuracy: 0.6633 - val_auc: 0.9749 - val_recall: 0.0000e+00 - val_precision: 0.0000e+00\n",
            "Epoch 144/500\n",
            "84/84 - 16s - loss: 2.3474 - accuracy: 0.7029 - auc: 0.9918 - recall: 0.0019 - precision: 1.0000 - val_loss: 2.4524 - val_accuracy: 0.6667 - val_auc: 0.9751 - val_recall: 0.0017 - val_precision: 1.0000\n",
            "Epoch 145/500\n",
            "84/84 - 16s - loss: 2.3430 - accuracy: 0.7036 - auc: 0.9917 - recall: 0.0023 - precision: 1.0000 - val_loss: 2.4481 - val_accuracy: 0.6667 - val_auc: 0.9751 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 146/500\n",
            "84/84 - 16s - loss: 2.3377 - accuracy: 0.7074 - auc: 0.9921 - recall: 0.0019 - precision: 1.0000 - val_loss: 2.4443 - val_accuracy: 0.6667 - val_auc: 0.9753 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 147/500\n",
            "84/84 - 16s - loss: 2.3341 - accuracy: 0.7078 - auc: 0.9918 - recall: 0.0015 - precision: 1.0000 - val_loss: 2.4402 - val_accuracy: 0.6667 - val_auc: 0.9754 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 148/500\n",
            "84/84 - 16s - loss: 2.3298 - accuracy: 0.7070 - auc: 0.9920 - recall: 0.0038 - precision: 1.0000 - val_loss: 2.4358 - val_accuracy: 0.6700 - val_auc: 0.9753 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 149/500\n",
            "84/84 - 16s - loss: 2.3258 - accuracy: 0.7119 - auc: 0.9918 - recall: 0.0034 - precision: 1.0000 - val_loss: 2.4322 - val_accuracy: 0.6733 - val_auc: 0.9754 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 150/500\n",
            "84/84 - 16s - loss: 2.3205 - accuracy: 0.7104 - auc: 0.9919 - recall: 0.0030 - precision: 1.0000 - val_loss: 2.4278 - val_accuracy: 0.6733 - val_auc: 0.9756 - val_recall: 0.0050 - val_precision: 1.0000\n",
            "Epoch 151/500\n",
            "84/84 - 16s - loss: 2.3170 - accuracy: 0.7112 - auc: 0.9919 - recall: 0.0038 - precision: 1.0000 - val_loss: 2.4240 - val_accuracy: 0.6766 - val_auc: 0.9757 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 152/500\n",
            "84/84 - 16s - loss: 2.3136 - accuracy: 0.7112 - auc: 0.9922 - recall: 0.0034 - precision: 1.0000 - val_loss: 2.4204 - val_accuracy: 0.6799 - val_auc: 0.9754 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 153/500\n",
            "84/84 - 16s - loss: 2.3077 - accuracy: 0.7146 - auc: 0.9923 - recall: 0.0038 - precision: 1.0000 - val_loss: 2.4163 - val_accuracy: 0.6799 - val_auc: 0.9755 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 154/500\n",
            "84/84 - 16s - loss: 2.3036 - accuracy: 0.7138 - auc: 0.9921 - recall: 0.0045 - precision: 1.0000 - val_loss: 2.4120 - val_accuracy: 0.6816 - val_auc: 0.9754 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 155/500\n",
            "84/84 - 16s - loss: 2.3004 - accuracy: 0.7149 - auc: 0.9922 - recall: 0.0053 - precision: 1.0000 - val_loss: 2.4073 - val_accuracy: 0.6816 - val_auc: 0.9755 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 156/500\n",
            "84/84 - 16s - loss: 2.2941 - accuracy: 0.7153 - auc: 0.9922 - recall: 0.0049 - precision: 1.0000 - val_loss: 2.4037 - val_accuracy: 0.6866 - val_auc: 0.9755 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 157/500\n",
            "84/84 - 16s - loss: 2.2904 - accuracy: 0.7187 - auc: 0.9922 - recall: 0.0053 - precision: 1.0000 - val_loss: 2.4000 - val_accuracy: 0.6849 - val_auc: 0.9756 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 158/500\n",
            "84/84 - 16s - loss: 2.2865 - accuracy: 0.7209 - auc: 0.9923 - recall: 0.0049 - precision: 1.0000 - val_loss: 2.3963 - val_accuracy: 0.6882 - val_auc: 0.9755 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 159/500\n",
            "84/84 - 16s - loss: 2.2835 - accuracy: 0.7206 - auc: 0.9924 - recall: 0.0053 - precision: 1.0000 - val_loss: 2.3926 - val_accuracy: 0.6882 - val_auc: 0.9757 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 160/500\n",
            "84/84 - 16s - loss: 2.2780 - accuracy: 0.7240 - auc: 0.9924 - recall: 0.0068 - precision: 1.0000 - val_loss: 2.3885 - val_accuracy: 0.6899 - val_auc: 0.9748 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 161/500\n",
            "84/84 - 16s - loss: 2.2720 - accuracy: 0.7228 - auc: 0.9926 - recall: 0.0056 - precision: 1.0000 - val_loss: 2.3841 - val_accuracy: 0.6932 - val_auc: 0.9747 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 162/500\n",
            "84/84 - 16s - loss: 2.2691 - accuracy: 0.7179 - auc: 0.9926 - recall: 0.0079 - precision: 1.0000 - val_loss: 2.3805 - val_accuracy: 0.6932 - val_auc: 0.9747 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 163/500\n",
            "84/84 - 16s - loss: 2.2668 - accuracy: 0.7251 - auc: 0.9926 - recall: 0.0064 - precision: 1.0000 - val_loss: 2.3770 - val_accuracy: 0.6965 - val_auc: 0.9747 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 164/500\n",
            "84/84 - 16s - loss: 2.2624 - accuracy: 0.7255 - auc: 0.9923 - recall: 0.0068 - precision: 1.0000 - val_loss: 2.3729 - val_accuracy: 0.6982 - val_auc: 0.9749 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 165/500\n",
            "84/84 - 16s - loss: 2.2570 - accuracy: 0.7255 - auc: 0.9927 - recall: 0.0086 - precision: 1.0000 - val_loss: 2.3689 - val_accuracy: 0.6949 - val_auc: 0.9748 - val_recall: 0.0083 - val_precision: 1.0000\n",
            "Epoch 166/500\n",
            "84/84 - 16s - loss: 2.2531 - accuracy: 0.7243 - auc: 0.9927 - recall: 0.0083 - precision: 1.0000 - val_loss: 2.3654 - val_accuracy: 0.6965 - val_auc: 0.9751 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 167/500\n",
            "84/84 - 16s - loss: 2.2496 - accuracy: 0.7228 - auc: 0.9925 - recall: 0.0083 - precision: 1.0000 - val_loss: 2.3614 - val_accuracy: 0.6965 - val_auc: 0.9750 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 168/500\n",
            "84/84 - 16s - loss: 2.2442 - accuracy: 0.7307 - auc: 0.9926 - recall: 0.0075 - precision: 1.0000 - val_loss: 2.3584 - val_accuracy: 0.6998 - val_auc: 0.9751 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 169/500\n",
            "84/84 - 16s - loss: 2.2404 - accuracy: 0.7345 - auc: 0.9925 - recall: 0.0094 - precision: 1.0000 - val_loss: 2.3542 - val_accuracy: 0.7032 - val_auc: 0.9751 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 170/500\n",
            "84/84 - 16s - loss: 2.2372 - accuracy: 0.7251 - auc: 0.9927 - recall: 0.0105 - precision: 1.0000 - val_loss: 2.3509 - val_accuracy: 0.7015 - val_auc: 0.9753 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 171/500\n",
            "84/84 - 16s - loss: 2.2335 - accuracy: 0.7296 - auc: 0.9929 - recall: 0.0102 - precision: 1.0000 - val_loss: 2.3469 - val_accuracy: 0.7015 - val_auc: 0.9754 - val_recall: 0.0100 - val_precision: 1.0000\n",
            "Epoch 172/500\n",
            "84/84 - 16s - loss: 2.2299 - accuracy: 0.7330 - auc: 0.9925 - recall: 0.0117 - precision: 1.0000 - val_loss: 2.3437 - val_accuracy: 0.7015 - val_auc: 0.9763 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 173/500\n",
            "84/84 - 16s - loss: 2.2242 - accuracy: 0.7322 - auc: 0.9927 - recall: 0.0113 - precision: 1.0000 - val_loss: 2.3397 - val_accuracy: 0.7048 - val_auc: 0.9772 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 174/500\n",
            "84/84 - 16s - loss: 2.2219 - accuracy: 0.7322 - auc: 0.9927 - recall: 0.0117 - precision: 1.0000 - val_loss: 2.3365 - val_accuracy: 0.7048 - val_auc: 0.9774 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 175/500\n",
            "84/84 - 16s - loss: 2.2180 - accuracy: 0.7356 - auc: 0.9929 - recall: 0.0105 - precision: 1.0000 - val_loss: 2.3324 - val_accuracy: 0.7048 - val_auc: 0.9773 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 176/500\n",
            "84/84 - 16s - loss: 2.2134 - accuracy: 0.7367 - auc: 0.9927 - recall: 0.0135 - precision: 1.0000 - val_loss: 2.3289 - val_accuracy: 0.7048 - val_auc: 0.9774 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 177/500\n",
            "84/84 - 16s - loss: 2.2093 - accuracy: 0.7356 - auc: 0.9927 - recall: 0.0117 - precision: 1.0000 - val_loss: 2.3253 - val_accuracy: 0.7048 - val_auc: 0.9765 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 178/500\n",
            "84/84 - 16s - loss: 2.2058 - accuracy: 0.7360 - auc: 0.9929 - recall: 0.0132 - precision: 1.0000 - val_loss: 2.3223 - val_accuracy: 0.7048 - val_auc: 0.9773 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 179/500\n",
            "84/84 - 16s - loss: 2.2025 - accuracy: 0.7398 - auc: 0.9931 - recall: 0.0117 - precision: 1.0000 - val_loss: 2.3194 - val_accuracy: 0.7048 - val_auc: 0.9774 - val_recall: 0.0116 - val_precision: 1.0000\n",
            "Epoch 180/500\n",
            "84/84 - 16s - loss: 2.1991 - accuracy: 0.7367 - auc: 0.9930 - recall: 0.0124 - precision: 1.0000 - val_loss: 2.3154 - val_accuracy: 0.7065 - val_auc: 0.9774 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 181/500\n",
            "84/84 - 16s - loss: 2.1957 - accuracy: 0.7416 - auc: 0.9932 - recall: 0.0135 - precision: 1.0000 - val_loss: 2.3114 - val_accuracy: 0.7098 - val_auc: 0.9774 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 182/500\n",
            "84/84 - 16s - loss: 2.1924 - accuracy: 0.7405 - auc: 0.9928 - recall: 0.0150 - precision: 1.0000 - val_loss: 2.3083 - val_accuracy: 0.7065 - val_auc: 0.9778 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 183/500\n",
            "84/84 - 16s - loss: 2.1881 - accuracy: 0.7379 - auc: 0.9929 - recall: 0.0139 - precision: 1.0000 - val_loss: 2.3052 - val_accuracy: 0.7081 - val_auc: 0.9778 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 184/500\n",
            "84/84 - 16s - loss: 2.1853 - accuracy: 0.7356 - auc: 0.9932 - recall: 0.0162 - precision: 1.0000 - val_loss: 2.3020 - val_accuracy: 0.7065 - val_auc: 0.9779 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 185/500\n",
            "84/84 - 16s - loss: 2.1802 - accuracy: 0.7416 - auc: 0.9932 - recall: 0.0165 - precision: 1.0000 - val_loss: 2.2990 - val_accuracy: 0.7065 - val_auc: 0.9779 - val_recall: 0.0133 - val_precision: 1.0000\n",
            "Epoch 186/500\n",
            "84/84 - 16s - loss: 2.1762 - accuracy: 0.7435 - auc: 0.9933 - recall: 0.0184 - precision: 1.0000 - val_loss: 2.2954 - val_accuracy: 0.7131 - val_auc: 0.9780 - val_recall: 0.0149 - val_precision: 1.0000\n",
            "Epoch 187/500\n",
            "84/84 - 16s - loss: 2.1736 - accuracy: 0.7398 - auc: 0.9930 - recall: 0.0165 - precision: 1.0000 - val_loss: 2.2920 - val_accuracy: 0.7114 - val_auc: 0.9781 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 188/500\n",
            "84/84 - 16s - loss: 2.1698 - accuracy: 0.7431 - auc: 0.9930 - recall: 0.0177 - precision: 1.0000 - val_loss: 2.2884 - val_accuracy: 0.7098 - val_auc: 0.9782 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 189/500\n",
            "84/84 - 16s - loss: 2.1662 - accuracy: 0.7386 - auc: 0.9930 - recall: 0.0203 - precision: 1.0000 - val_loss: 2.2851 - val_accuracy: 0.7114 - val_auc: 0.9784 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 190/500\n",
            "84/84 - 16s - loss: 2.1637 - accuracy: 0.7364 - auc: 0.9932 - recall: 0.0154 - precision: 1.0000 - val_loss: 2.2826 - val_accuracy: 0.7114 - val_auc: 0.9785 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 191/500\n",
            "84/84 - 16s - loss: 2.1593 - accuracy: 0.7495 - auc: 0.9933 - recall: 0.0211 - precision: 1.0000 - val_loss: 2.2789 - val_accuracy: 0.7148 - val_auc: 0.9786 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 192/500\n",
            "84/84 - 16s - loss: 2.1557 - accuracy: 0.7510 - auc: 0.9934 - recall: 0.0177 - precision: 1.0000 - val_loss: 2.2758 - val_accuracy: 0.7148 - val_auc: 0.9787 - val_recall: 0.0166 - val_precision: 1.0000\n",
            "Epoch 193/500\n",
            "84/84 - 16s - loss: 2.1509 - accuracy: 0.7450 - auc: 0.9932 - recall: 0.0192 - precision: 1.0000 - val_loss: 2.2727 - val_accuracy: 0.7131 - val_auc: 0.9786 - val_recall: 0.0182 - val_precision: 1.0000\n",
            "Epoch 194/500\n",
            "84/84 - 16s - loss: 2.1483 - accuracy: 0.7458 - auc: 0.9931 - recall: 0.0214 - precision: 1.0000 - val_loss: 2.2693 - val_accuracy: 0.7131 - val_auc: 0.9787 - val_recall: 0.0182 - val_precision: 1.0000\n",
            "Epoch 195/500\n",
            "84/84 - 16s - loss: 2.1445 - accuracy: 0.7510 - auc: 0.9934 - recall: 0.0211 - precision: 1.0000 - val_loss: 2.2658 - val_accuracy: 0.7114 - val_auc: 0.9786 - val_recall: 0.0182 - val_precision: 1.0000\n",
            "Epoch 196/500\n",
            "84/84 - 16s - loss: 2.1407 - accuracy: 0.7514 - auc: 0.9933 - recall: 0.0229 - precision: 1.0000 - val_loss: 2.2622 - val_accuracy: 0.7114 - val_auc: 0.9788 - val_recall: 0.0216 - val_precision: 1.0000\n",
            "Epoch 197/500\n",
            "84/84 - 16s - loss: 2.1386 - accuracy: 0.7522 - auc: 0.9932 - recall: 0.0244 - precision: 1.0000 - val_loss: 2.2594 - val_accuracy: 0.7114 - val_auc: 0.9788 - val_recall: 0.0216 - val_precision: 1.0000\n",
            "Epoch 198/500\n",
            "84/84 - 16s - loss: 2.1327 - accuracy: 0.7518 - auc: 0.9932 - recall: 0.0199 - precision: 1.0000 - val_loss: 2.2566 - val_accuracy: 0.7098 - val_auc: 0.9788 - val_recall: 0.0216 - val_precision: 1.0000\n",
            "Epoch 199/500\n",
            "84/84 - 16s - loss: 2.1311 - accuracy: 0.7507 - auc: 0.9936 - recall: 0.0275 - precision: 1.0000 - val_loss: 2.2533 - val_accuracy: 0.7098 - val_auc: 0.9788 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 200/500\n",
            "84/84 - 16s - loss: 2.1273 - accuracy: 0.7525 - auc: 0.9935 - recall: 0.0252 - precision: 1.0000 - val_loss: 2.2499 - val_accuracy: 0.7114 - val_auc: 0.9790 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 201/500\n",
            "84/84 - 16s - loss: 2.1224 - accuracy: 0.7533 - auc: 0.9932 - recall: 0.0241 - precision: 1.0000 - val_loss: 2.2468 - val_accuracy: 0.7114 - val_auc: 0.9787 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 202/500\n",
            "84/84 - 16s - loss: 2.1191 - accuracy: 0.7518 - auc: 0.9934 - recall: 0.0275 - precision: 1.0000 - val_loss: 2.2438 - val_accuracy: 0.7098 - val_auc: 0.9787 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 203/500\n",
            "84/84 - 16s - loss: 2.1178 - accuracy: 0.7514 - auc: 0.9934 - recall: 0.0271 - precision: 1.0000 - val_loss: 2.2408 - val_accuracy: 0.7081 - val_auc: 0.9786 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 204/500\n",
            "84/84 - 16s - loss: 2.1138 - accuracy: 0.7503 - auc: 0.9936 - recall: 0.0293 - precision: 1.0000 - val_loss: 2.2381 - val_accuracy: 0.7098 - val_auc: 0.9788 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 205/500\n",
            "84/84 - 16s - loss: 2.1123 - accuracy: 0.7492 - auc: 0.9936 - recall: 0.0278 - precision: 1.0000 - val_loss: 2.2348 - val_accuracy: 0.7114 - val_auc: 0.9787 - val_recall: 0.0249 - val_precision: 1.0000\n",
            "Epoch 206/500\n",
            "84/84 - 16s - loss: 2.1085 - accuracy: 0.7544 - auc: 0.9937 - recall: 0.0286 - precision: 1.0000 - val_loss: 2.2319 - val_accuracy: 0.7098 - val_auc: 0.9788 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 207/500\n",
            "84/84 - 16s - loss: 2.1049 - accuracy: 0.7537 - auc: 0.9936 - recall: 0.0282 - precision: 1.0000 - val_loss: 2.2294 - val_accuracy: 0.7114 - val_auc: 0.9790 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 208/500\n",
            "84/84 - 16s - loss: 2.1014 - accuracy: 0.7578 - auc: 0.9934 - recall: 0.0286 - precision: 1.0000 - val_loss: 2.2259 - val_accuracy: 0.7148 - val_auc: 0.9790 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 209/500\n",
            "84/84 - 16s - loss: 2.0996 - accuracy: 0.7495 - auc: 0.9934 - recall: 0.0286 - precision: 1.0000 - val_loss: 2.2227 - val_accuracy: 0.7131 - val_auc: 0.9791 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 210/500\n",
            "84/84 - 16s - loss: 2.0949 - accuracy: 0.7586 - auc: 0.9935 - recall: 0.0312 - precision: 1.0000 - val_loss: 2.2194 - val_accuracy: 0.7114 - val_auc: 0.9791 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 211/500\n",
            "84/84 - 16s - loss: 2.0919 - accuracy: 0.7488 - auc: 0.9939 - recall: 0.0312 - precision: 1.0000 - val_loss: 2.2165 - val_accuracy: 0.7148 - val_auc: 0.9791 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 212/500\n",
            "84/84 - 16s - loss: 2.0890 - accuracy: 0.7574 - auc: 0.9936 - recall: 0.0316 - precision: 1.0000 - val_loss: 2.2145 - val_accuracy: 0.7131 - val_auc: 0.9793 - val_recall: 0.0282 - val_precision: 1.0000\n",
            "Epoch 213/500\n",
            "84/84 - 16s - loss: 2.0863 - accuracy: 0.7578 - auc: 0.9936 - recall: 0.0316 - precision: 1.0000 - val_loss: 2.2114 - val_accuracy: 0.7131 - val_auc: 0.9794 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 214/500\n",
            "84/84 - 16s - loss: 2.0821 - accuracy: 0.7578 - auc: 0.9938 - recall: 0.0338 - precision: 1.0000 - val_loss: 2.2087 - val_accuracy: 0.7131 - val_auc: 0.9795 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 215/500\n",
            "84/84 - 16s - loss: 2.0791 - accuracy: 0.7571 - auc: 0.9938 - recall: 0.0327 - precision: 1.0000 - val_loss: 2.2059 - val_accuracy: 0.7131 - val_auc: 0.9794 - val_recall: 0.0265 - val_precision: 1.0000\n",
            "Epoch 216/500\n",
            "84/84 - 16s - loss: 2.0766 - accuracy: 0.7608 - auc: 0.9936 - recall: 0.0327 - precision: 1.0000 - val_loss: 2.2029 - val_accuracy: 0.7148 - val_auc: 0.9795 - val_recall: 0.0282 - val_precision: 1.0000\n",
            "Epoch 217/500\n",
            "84/84 - 16s - loss: 2.0728 - accuracy: 0.7649 - auc: 0.9936 - recall: 0.0323 - precision: 1.0000 - val_loss: 2.1992 - val_accuracy: 0.7148 - val_auc: 0.9797 - val_recall: 0.0282 - val_precision: 1.0000\n",
            "Epoch 218/500\n",
            "84/84 - 16s - loss: 2.0712 - accuracy: 0.7544 - auc: 0.9938 - recall: 0.0354 - precision: 1.0000 - val_loss: 2.1964 - val_accuracy: 0.7148 - val_auc: 0.9797 - val_recall: 0.0299 - val_precision: 1.0000\n",
            "Epoch 219/500\n",
            "84/84 - 16s - loss: 2.0666 - accuracy: 0.7597 - auc: 0.9935 - recall: 0.0342 - precision: 1.0000 - val_loss: 2.1935 - val_accuracy: 0.7131 - val_auc: 0.9798 - val_recall: 0.0282 - val_precision: 1.0000\n",
            "Epoch 220/500\n",
            "84/84 - 16s - loss: 2.0652 - accuracy: 0.7616 - auc: 0.9938 - recall: 0.0331 - precision: 1.0000 - val_loss: 2.1908 - val_accuracy: 0.7148 - val_auc: 0.9799 - val_recall: 0.0299 - val_precision: 1.0000\n",
            "Epoch 221/500\n",
            "84/84 - 16s - loss: 2.0590 - accuracy: 0.7646 - auc: 0.9938 - recall: 0.0346 - precision: 1.0000 - val_loss: 2.1877 - val_accuracy: 0.7164 - val_auc: 0.9800 - val_recall: 0.0299 - val_precision: 1.0000\n",
            "Epoch 222/500\n",
            "84/84 - 16s - loss: 2.0575 - accuracy: 0.7646 - auc: 0.9937 - recall: 0.0338 - precision: 1.0000 - val_loss: 2.1846 - val_accuracy: 0.7131 - val_auc: 0.9801 - val_recall: 0.0299 - val_precision: 1.0000\n",
            "Epoch 223/500\n",
            "84/84 - 16s - loss: 2.0535 - accuracy: 0.7634 - auc: 0.9938 - recall: 0.0365 - precision: 1.0000 - val_loss: 2.1815 - val_accuracy: 0.7148 - val_auc: 0.9800 - val_recall: 0.0332 - val_precision: 1.0000\n",
            "Epoch 224/500\n",
            "84/84 - 16s - loss: 2.0503 - accuracy: 0.7634 - auc: 0.9939 - recall: 0.0376 - precision: 1.0000 - val_loss: 2.1785 - val_accuracy: 0.7164 - val_auc: 0.9799 - val_recall: 0.0332 - val_precision: 1.0000\n",
            "Epoch 225/500\n",
            "84/84 - 16s - loss: 2.0473 - accuracy: 0.7653 - auc: 0.9938 - recall: 0.0365 - precision: 1.0000 - val_loss: 2.1752 - val_accuracy: 0.7164 - val_auc: 0.9802 - val_recall: 0.0332 - val_precision: 1.0000\n",
            "Epoch 226/500\n",
            "84/84 - 16s - loss: 2.0426 - accuracy: 0.7653 - auc: 0.9940 - recall: 0.0384 - precision: 1.0000 - val_loss: 2.1722 - val_accuracy: 0.7164 - val_auc: 0.9803 - val_recall: 0.0348 - val_precision: 1.0000\n",
            "Epoch 227/500\n",
            "84/84 - 16s - loss: 2.0407 - accuracy: 0.7698 - auc: 0.9937 - recall: 0.0387 - precision: 1.0000 - val_loss: 2.1701 - val_accuracy: 0.7164 - val_auc: 0.9803 - val_recall: 0.0348 - val_precision: 1.0000\n",
            "Epoch 228/500\n",
            "84/84 - 16s - loss: 2.0378 - accuracy: 0.7668 - auc: 0.9939 - recall: 0.0380 - precision: 1.0000 - val_loss: 2.1680 - val_accuracy: 0.7148 - val_auc: 0.9803 - val_recall: 0.0348 - val_precision: 1.0000\n",
            "Epoch 229/500\n",
            "84/84 - 16s - loss: 2.0341 - accuracy: 0.7668 - auc: 0.9940 - recall: 0.0376 - precision: 1.0000 - val_loss: 2.1648 - val_accuracy: 0.7148 - val_auc: 0.9803 - val_recall: 0.0348 - val_precision: 1.0000\n",
            "Epoch 230/500\n",
            "84/84 - 17s - loss: 2.0305 - accuracy: 0.7676 - auc: 0.9942 - recall: 0.0391 - precision: 1.0000 - val_loss: 2.1617 - val_accuracy: 0.7148 - val_auc: 0.9804 - val_recall: 0.0365 - val_precision: 1.0000\n",
            "Epoch 231/500\n",
            "84/84 - 17s - loss: 2.0277 - accuracy: 0.7695 - auc: 0.9940 - recall: 0.0410 - precision: 1.0000 - val_loss: 2.1589 - val_accuracy: 0.7148 - val_auc: 0.9804 - val_recall: 0.0365 - val_precision: 1.0000\n",
            "Epoch 232/500\n",
            "84/84 - 16s - loss: 2.0263 - accuracy: 0.7759 - auc: 0.9940 - recall: 0.0414 - precision: 1.0000 - val_loss: 2.1565 - val_accuracy: 0.7181 - val_auc: 0.9804 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 233/500\n",
            "84/84 - 17s - loss: 2.0217 - accuracy: 0.7721 - auc: 0.9939 - recall: 0.0410 - precision: 1.0000 - val_loss: 2.1529 - val_accuracy: 0.7197 - val_auc: 0.9804 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 234/500\n",
            "84/84 - 17s - loss: 2.0192 - accuracy: 0.7653 - auc: 0.9939 - recall: 0.0425 - precision: 1.0000 - val_loss: 2.1501 - val_accuracy: 0.7214 - val_auc: 0.9804 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 235/500\n",
            "84/84 - 16s - loss: 2.0161 - accuracy: 0.7736 - auc: 0.9942 - recall: 0.0425 - precision: 1.0000 - val_loss: 2.1469 - val_accuracy: 0.7264 - val_auc: 0.9805 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 236/500\n",
            "84/84 - 16s - loss: 2.0127 - accuracy: 0.7721 - auc: 0.9937 - recall: 0.0440 - precision: 1.0000 - val_loss: 2.1445 - val_accuracy: 0.7280 - val_auc: 0.9805 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 237/500\n",
            "84/84 - 16s - loss: 2.0088 - accuracy: 0.7774 - auc: 0.9941 - recall: 0.0421 - precision: 1.0000 - val_loss: 2.1417 - val_accuracy: 0.7264 - val_auc: 0.9805 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 238/500\n",
            "84/84 - 16s - loss: 2.0075 - accuracy: 0.7789 - auc: 0.9939 - recall: 0.0402 - precision: 1.0000 - val_loss: 2.1388 - val_accuracy: 0.7264 - val_auc: 0.9806 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 239/500\n",
            "84/84 - 16s - loss: 2.0030 - accuracy: 0.7710 - auc: 0.9940 - recall: 0.0459 - precision: 1.0000 - val_loss: 2.1364 - val_accuracy: 0.7264 - val_auc: 0.9807 - val_recall: 0.0381 - val_precision: 1.0000\n",
            "Epoch 240/500\n",
            "84/84 - 16s - loss: 2.0000 - accuracy: 0.7736 - auc: 0.9942 - recall: 0.0451 - precision: 1.0000 - val_loss: 2.1337 - val_accuracy: 0.7264 - val_auc: 0.9806 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 241/500\n",
            "84/84 - 16s - loss: 1.9984 - accuracy: 0.7751 - auc: 0.9943 - recall: 0.0451 - precision: 1.0000 - val_loss: 2.1309 - val_accuracy: 0.7247 - val_auc: 0.9806 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 242/500\n",
            "84/84 - 16s - loss: 1.9952 - accuracy: 0.7755 - auc: 0.9941 - recall: 0.0463 - precision: 1.0000 - val_loss: 2.1293 - val_accuracy: 0.7247 - val_auc: 0.9807 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 243/500\n",
            "84/84 - 16s - loss: 1.9917 - accuracy: 0.7770 - auc: 0.9943 - recall: 0.0451 - precision: 1.0000 - val_loss: 2.1261 - val_accuracy: 0.7297 - val_auc: 0.9807 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 244/500\n",
            "84/84 - 16s - loss: 1.9883 - accuracy: 0.7785 - auc: 0.9944 - recall: 0.0466 - precision: 1.0000 - val_loss: 2.1231 - val_accuracy: 0.7330 - val_auc: 0.9815 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 245/500\n",
            "84/84 - 16s - loss: 1.9861 - accuracy: 0.7796 - auc: 0.9946 - recall: 0.0448 - precision: 1.0000 - val_loss: 2.1198 - val_accuracy: 0.7347 - val_auc: 0.9815 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 246/500\n",
            "84/84 - 16s - loss: 1.9827 - accuracy: 0.7792 - auc: 0.9941 - recall: 0.0463 - precision: 1.0000 - val_loss: 2.1178 - val_accuracy: 0.7330 - val_auc: 0.9808 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 247/500\n",
            "84/84 - 16s - loss: 1.9805 - accuracy: 0.7860 - auc: 0.9943 - recall: 0.0455 - precision: 1.0000 - val_loss: 2.1146 - val_accuracy: 0.7330 - val_auc: 0.9815 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 248/500\n",
            "84/84 - 16s - loss: 1.9774 - accuracy: 0.7819 - auc: 0.9944 - recall: 0.0485 - precision: 1.0000 - val_loss: 2.1121 - val_accuracy: 0.7330 - val_auc: 0.9815 - val_recall: 0.0398 - val_precision: 1.0000\n",
            "Epoch 249/500\n",
            "84/84 - 16s - loss: 1.9759 - accuracy: 0.7815 - auc: 0.9944 - recall: 0.0455 - precision: 1.0000 - val_loss: 2.1097 - val_accuracy: 0.7313 - val_auc: 0.9807 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 250/500\n",
            "84/84 - 16s - loss: 1.9717 - accuracy: 0.7807 - auc: 0.9944 - recall: 0.0489 - precision: 1.0000 - val_loss: 2.1076 - val_accuracy: 0.7297 - val_auc: 0.9808 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 251/500\n",
            "84/84 - 16s - loss: 1.9679 - accuracy: 0.7807 - auc: 0.9944 - recall: 0.0496 - precision: 1.0000 - val_loss: 2.1048 - val_accuracy: 0.7330 - val_auc: 0.9808 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 252/500\n",
            "84/84 - 16s - loss: 1.9641 - accuracy: 0.7800 - auc: 0.9943 - recall: 0.0508 - precision: 1.0000 - val_loss: 2.1020 - val_accuracy: 0.7330 - val_auc: 0.9808 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 253/500\n",
            "84/84 - 16s - loss: 1.9613 - accuracy: 0.7811 - auc: 0.9943 - recall: 0.0481 - precision: 1.0000 - val_loss: 2.0999 - val_accuracy: 0.7330 - val_auc: 0.9809 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 254/500\n",
            "84/84 - 16s - loss: 1.9595 - accuracy: 0.7770 - auc: 0.9943 - recall: 0.0511 - precision: 1.0000 - val_loss: 2.0970 - val_accuracy: 0.7347 - val_auc: 0.9809 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 255/500\n",
            "84/84 - 16s - loss: 1.9579 - accuracy: 0.7807 - auc: 0.9948 - recall: 0.0493 - precision: 1.0000 - val_loss: 2.0951 - val_accuracy: 0.7330 - val_auc: 0.9811 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 256/500\n",
            "84/84 - 16s - loss: 1.9556 - accuracy: 0.7849 - auc: 0.9946 - recall: 0.0489 - precision: 1.0000 - val_loss: 2.0927 - val_accuracy: 0.7347 - val_auc: 0.9809 - val_recall: 0.0415 - val_precision: 1.0000\n",
            "Epoch 257/500\n",
            "84/84 - 16s - loss: 1.9514 - accuracy: 0.7879 - auc: 0.9944 - recall: 0.0515 - precision: 1.0000 - val_loss: 2.0900 - val_accuracy: 0.7347 - val_auc: 0.9809 - val_recall: 0.0431 - val_precision: 1.0000\n",
            "Epoch 258/500\n",
            "84/84 - 16s - loss: 1.9489 - accuracy: 0.7871 - auc: 0.9947 - recall: 0.0534 - precision: 1.0000 - val_loss: 2.0870 - val_accuracy: 0.7363 - val_auc: 0.9817 - val_recall: 0.0431 - val_precision: 1.0000\n",
            "Epoch 259/500\n",
            "84/84 - 16s - loss: 1.9458 - accuracy: 0.7853 - auc: 0.9945 - recall: 0.0523 - precision: 1.0000 - val_loss: 2.0847 - val_accuracy: 0.7363 - val_auc: 0.9817 - val_recall: 0.0431 - val_precision: 1.0000\n",
            "Epoch 260/500\n",
            "84/84 - 16s - loss: 1.9420 - accuracy: 0.7845 - auc: 0.9945 - recall: 0.0519 - precision: 1.0000 - val_loss: 2.0820 - val_accuracy: 0.7380 - val_auc: 0.9817 - val_recall: 0.0431 - val_precision: 1.0000\n",
            "Epoch 261/500\n",
            "84/84 - 16s - loss: 1.9396 - accuracy: 0.7856 - auc: 0.9948 - recall: 0.0534 - precision: 1.0000 - val_loss: 2.0796 - val_accuracy: 0.7347 - val_auc: 0.9809 - val_recall: 0.0448 - val_precision: 1.0000\n",
            "Epoch 262/500\n",
            "84/84 - 16s - loss: 1.9379 - accuracy: 0.7883 - auc: 0.9947 - recall: 0.0527 - precision: 1.0000 - val_loss: 2.0771 - val_accuracy: 0.7380 - val_auc: 0.9817 - val_recall: 0.0448 - val_precision: 1.0000\n",
            "Epoch 263/500\n",
            "84/84 - 16s - loss: 1.9349 - accuracy: 0.7901 - auc: 0.9946 - recall: 0.0549 - precision: 1.0000 - val_loss: 2.0750 - val_accuracy: 0.7413 - val_auc: 0.9820 - val_recall: 0.0448 - val_precision: 1.0000\n",
            "Epoch 264/500\n",
            "84/84 - 16s - loss: 1.9317 - accuracy: 0.7860 - auc: 0.9949 - recall: 0.0553 - precision: 1.0000 - val_loss: 2.0721 - val_accuracy: 0.7413 - val_auc: 0.9820 - val_recall: 0.0464 - val_precision: 1.0000\n",
            "Epoch 265/500\n",
            "84/84 - 16s - loss: 1.9298 - accuracy: 0.7886 - auc: 0.9945 - recall: 0.0545 - precision: 1.0000 - val_loss: 2.0697 - val_accuracy: 0.7380 - val_auc: 0.9820 - val_recall: 0.0464 - val_precision: 1.0000\n",
            "Epoch 266/500\n",
            "84/84 - 16s - loss: 1.9271 - accuracy: 0.7883 - auc: 0.9946 - recall: 0.0560 - precision: 1.0000 - val_loss: 2.0674 - val_accuracy: 0.7363 - val_auc: 0.9813 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 267/500\n",
            "84/84 - 16s - loss: 1.9218 - accuracy: 0.7935 - auc: 0.9948 - recall: 0.0549 - precision: 1.0000 - val_loss: 2.0645 - val_accuracy: 0.7380 - val_auc: 0.9813 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 268/500\n",
            "84/84 - 16s - loss: 1.9183 - accuracy: 0.7958 - auc: 0.9949 - recall: 0.0575 - precision: 1.0000 - val_loss: 2.0614 - val_accuracy: 0.7396 - val_auc: 0.9821 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 269/500\n",
            "84/84 - 16s - loss: 1.9162 - accuracy: 0.7898 - auc: 0.9947 - recall: 0.0579 - precision: 1.0000 - val_loss: 2.0587 - val_accuracy: 0.7413 - val_auc: 0.9814 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 270/500\n",
            "84/84 - 16s - loss: 1.9129 - accuracy: 0.7898 - auc: 0.9951 - recall: 0.0598 - precision: 1.0000 - val_loss: 2.0566 - val_accuracy: 0.7396 - val_auc: 0.9814 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 271/500\n",
            "84/84 - 16s - loss: 1.9118 - accuracy: 0.7947 - auc: 0.9948 - recall: 0.0575 - precision: 1.0000 - val_loss: 2.0541 - val_accuracy: 0.7396 - val_auc: 0.9814 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 272/500\n",
            "84/84 - 16s - loss: 1.9087 - accuracy: 0.7928 - auc: 0.9948 - recall: 0.0572 - precision: 1.0000 - val_loss: 2.0516 - val_accuracy: 0.7413 - val_auc: 0.9815 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 273/500\n",
            "84/84 - 16s - loss: 1.9062 - accuracy: 0.7924 - auc: 0.9945 - recall: 0.0598 - precision: 1.0000 - val_loss: 2.0500 - val_accuracy: 0.7363 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 274/500\n",
            "84/84 - 16s - loss: 1.9033 - accuracy: 0.7962 - auc: 0.9946 - recall: 0.0602 - precision: 1.0000 - val_loss: 2.0477 - val_accuracy: 0.7396 - val_auc: 0.9817 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 275/500\n",
            "84/84 - 16s - loss: 1.9006 - accuracy: 0.7932 - auc: 0.9948 - recall: 0.0598 - precision: 1.0000 - val_loss: 2.0454 - val_accuracy: 0.7380 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 276/500\n",
            "84/84 - 16s - loss: 1.8968 - accuracy: 0.7950 - auc: 0.9950 - recall: 0.0602 - precision: 1.0000 - val_loss: 2.0425 - val_accuracy: 0.7380 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 277/500\n",
            "84/84 - 16s - loss: 1.8950 - accuracy: 0.7917 - auc: 0.9947 - recall: 0.0613 - precision: 1.0000 - val_loss: 2.0402 - val_accuracy: 0.7396 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 278/500\n",
            "84/84 - 16s - loss: 1.8943 - accuracy: 0.7950 - auc: 0.9951 - recall: 0.0621 - precision: 1.0000 - val_loss: 2.0387 - val_accuracy: 0.7413 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 279/500\n",
            "84/84 - 16s - loss: 1.8892 - accuracy: 0.7950 - auc: 0.9949 - recall: 0.0617 - precision: 1.0000 - val_loss: 2.0354 - val_accuracy: 0.7430 - val_auc: 0.9816 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 280/500\n",
            "84/84 - 16s - loss: 1.8876 - accuracy: 0.8014 - auc: 0.9949 - recall: 0.0639 - precision: 1.0000 - val_loss: 2.0331 - val_accuracy: 0.7430 - val_auc: 0.9817 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 281/500\n",
            "84/84 - 16s - loss: 1.8838 - accuracy: 0.7995 - auc: 0.9950 - recall: 0.0621 - precision: 1.0000 - val_loss: 2.0304 - val_accuracy: 0.7446 - val_auc: 0.9818 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 282/500\n",
            "84/84 - 16s - loss: 1.8816 - accuracy: 0.8003 - auc: 0.9950 - recall: 0.0613 - precision: 1.0000 - val_loss: 2.0275 - val_accuracy: 0.7463 - val_auc: 0.9818 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 283/500\n",
            "84/84 - 16s - loss: 1.8779 - accuracy: 0.7984 - auc: 0.9950 - recall: 0.0673 - precision: 1.0000 - val_loss: 2.0249 - val_accuracy: 0.7446 - val_auc: 0.9819 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 284/500\n",
            "84/84 - 16s - loss: 1.8763 - accuracy: 0.8014 - auc: 0.9949 - recall: 0.0666 - precision: 1.0000 - val_loss: 2.0227 - val_accuracy: 0.7463 - val_auc: 0.9819 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 285/500\n",
            "84/84 - 16s - loss: 1.8727 - accuracy: 0.7954 - auc: 0.9952 - recall: 0.0666 - precision: 1.0000 - val_loss: 2.0205 - val_accuracy: 0.7446 - val_auc: 0.9805 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 286/500\n",
            "84/84 - 16s - loss: 1.8706 - accuracy: 0.7984 - auc: 0.9950 - recall: 0.0651 - precision: 1.0000 - val_loss: 2.0181 - val_accuracy: 0.7463 - val_auc: 0.9819 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 287/500\n",
            "84/84 - 16s - loss: 1.8664 - accuracy: 0.7988 - auc: 0.9949 - recall: 0.0666 - precision: 1.0000 - val_loss: 2.0152 - val_accuracy: 0.7446 - val_auc: 0.9804 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 288/500\n",
            "84/84 - 16s - loss: 1.8645 - accuracy: 0.8041 - auc: 0.9950 - recall: 0.0669 - precision: 1.0000 - val_loss: 2.0128 - val_accuracy: 0.7463 - val_auc: 0.9805 - val_recall: 0.0481 - val_precision: 1.0000\n",
            "Epoch 289/500\n",
            "84/84 - 16s - loss: 1.8615 - accuracy: 0.7920 - auc: 0.9952 - recall: 0.0658 - precision: 1.0000 - val_loss: 2.0102 - val_accuracy: 0.7430 - val_auc: 0.9806 - val_recall: 0.0498 - val_precision: 1.0000\n",
            "Epoch 290/500\n",
            "84/84 - 16s - loss: 1.8591 - accuracy: 0.7928 - auc: 0.9951 - recall: 0.0703 - precision: 1.0000 - val_loss: 2.0075 - val_accuracy: 0.7446 - val_auc: 0.9806 - val_recall: 0.0498 - val_precision: 1.0000\n",
            "Epoch 291/500\n",
            "84/84 - 16s - loss: 1.8553 - accuracy: 0.8018 - auc: 0.9953 - recall: 0.0681 - precision: 1.0000 - val_loss: 2.0050 - val_accuracy: 0.7463 - val_auc: 0.9808 - val_recall: 0.0498 - val_precision: 1.0000\n",
            "Epoch 292/500\n",
            "84/84 - 16s - loss: 1.8527 - accuracy: 0.7992 - auc: 0.9952 - recall: 0.0669 - precision: 1.0000 - val_loss: 2.0026 - val_accuracy: 0.7463 - val_auc: 0.9808 - val_recall: 0.0498 - val_precision: 1.0000\n",
            "Epoch 293/500\n",
            "84/84 - 16s - loss: 1.8511 - accuracy: 0.8033 - auc: 0.9952 - recall: 0.0692 - precision: 1.0000 - val_loss: 2.0003 - val_accuracy: 0.7446 - val_auc: 0.9808 - val_recall: 0.0498 - val_precision: 1.0000\n",
            "Epoch 294/500\n",
            "84/84 - 16s - loss: 1.8499 - accuracy: 0.8056 - auc: 0.9952 - recall: 0.0688 - precision: 1.0000 - val_loss: 1.9977 - val_accuracy: 0.7446 - val_auc: 0.9808 - val_recall: 0.0514 - val_precision: 1.0000\n",
            "Epoch 295/500\n",
            "84/84 - 16s - loss: 1.8472 - accuracy: 0.7999 - auc: 0.9951 - recall: 0.0703 - precision: 1.0000 - val_loss: 1.9950 - val_accuracy: 0.7463 - val_auc: 0.9809 - val_recall: 0.0514 - val_precision: 1.0000\n",
            "Epoch 296/500\n",
            "84/84 - 16s - loss: 1.8430 - accuracy: 0.8037 - auc: 0.9953 - recall: 0.0696 - precision: 1.0000 - val_loss: 1.9929 - val_accuracy: 0.7479 - val_auc: 0.9808 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 297/500\n",
            "84/84 - 16s - loss: 1.8413 - accuracy: 0.8074 - auc: 0.9951 - recall: 0.0700 - precision: 1.0000 - val_loss: 1.9909 - val_accuracy: 0.7479 - val_auc: 0.9816 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 298/500\n",
            "84/84 - 16s - loss: 1.8382 - accuracy: 0.8026 - auc: 0.9952 - recall: 0.0700 - precision: 1.0000 - val_loss: 1.9884 - val_accuracy: 0.7463 - val_auc: 0.9809 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 299/500\n",
            "84/84 - 16s - loss: 1.8370 - accuracy: 0.8041 - auc: 0.9952 - recall: 0.0700 - precision: 1.0000 - val_loss: 1.9871 - val_accuracy: 0.7446 - val_auc: 0.9810 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 300/500\n",
            "84/84 - 16s - loss: 1.8335 - accuracy: 0.8018 - auc: 0.9951 - recall: 0.0722 - precision: 1.0000 - val_loss: 1.9843 - val_accuracy: 0.7479 - val_auc: 0.9810 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 301/500\n",
            "84/84 - 16s - loss: 1.8309 - accuracy: 0.8041 - auc: 0.9955 - recall: 0.0737 - precision: 1.0000 - val_loss: 1.9819 - val_accuracy: 0.7463 - val_auc: 0.9817 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 302/500\n",
            "84/84 - 16s - loss: 1.8270 - accuracy: 0.8059 - auc: 0.9951 - recall: 0.0733 - precision: 1.0000 - val_loss: 1.9793 - val_accuracy: 0.7446 - val_auc: 0.9810 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 303/500\n",
            "84/84 - 16s - loss: 1.8273 - accuracy: 0.8063 - auc: 0.9955 - recall: 0.0726 - precision: 1.0000 - val_loss: 1.9773 - val_accuracy: 0.7496 - val_auc: 0.9817 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 304/500\n",
            "84/84 - 16s - loss: 1.8243 - accuracy: 0.8067 - auc: 0.9952 - recall: 0.0722 - precision: 1.0000 - val_loss: 1.9751 - val_accuracy: 0.7479 - val_auc: 0.9811 - val_recall: 0.0531 - val_precision: 1.0000\n",
            "Epoch 305/500\n",
            "84/84 - 16s - loss: 1.8190 - accuracy: 0.8078 - auc: 0.9953 - recall: 0.0733 - precision: 1.0000 - val_loss: 1.9726 - val_accuracy: 0.7496 - val_auc: 0.9819 - val_recall: 0.0564 - val_precision: 1.0000\n",
            "Epoch 306/500\n",
            "84/84 - 16s - loss: 1.8179 - accuracy: 0.8086 - auc: 0.9954 - recall: 0.0730 - precision: 1.0000 - val_loss: 1.9699 - val_accuracy: 0.7479 - val_auc: 0.9818 - val_recall: 0.0564 - val_precision: 1.0000\n",
            "Epoch 307/500\n",
            "84/84 - 16s - loss: 1.8162 - accuracy: 0.8097 - auc: 0.9952 - recall: 0.0733 - precision: 1.0000 - val_loss: 1.9675 - val_accuracy: 0.7496 - val_auc: 0.9817 - val_recall: 0.0564 - val_precision: 1.0000\n",
            "Epoch 308/500\n",
            "84/84 - 16s - loss: 1.8142 - accuracy: 0.8093 - auc: 0.9950 - recall: 0.0745 - precision: 1.0000 - val_loss: 1.9647 - val_accuracy: 0.7496 - val_auc: 0.9818 - val_recall: 0.0564 - val_precision: 1.0000\n",
            "Epoch 309/500\n",
            "84/84 - 16s - loss: 1.8107 - accuracy: 0.8044 - auc: 0.9951 - recall: 0.0745 - precision: 1.0000 - val_loss: 1.9629 - val_accuracy: 0.7496 - val_auc: 0.9817 - val_recall: 0.0564 - val_precision: 1.0000\n",
            "Epoch 310/500\n",
            "84/84 - 16s - loss: 1.8084 - accuracy: 0.8108 - auc: 0.9954 - recall: 0.0745 - precision: 1.0000 - val_loss: 1.9610 - val_accuracy: 0.7496 - val_auc: 0.9818 - val_recall: 0.0580 - val_precision: 1.0000\n",
            "Epoch 311/500\n",
            "84/84 - 16s - loss: 1.8051 - accuracy: 0.8090 - auc: 0.9955 - recall: 0.0771 - precision: 1.0000 - val_loss: 1.9586 - val_accuracy: 0.7479 - val_auc: 0.9819 - val_recall: 0.0580 - val_precision: 1.0000\n",
            "Epoch 312/500\n",
            "84/84 - 16s - loss: 1.8021 - accuracy: 0.8082 - auc: 0.9954 - recall: 0.0767 - precision: 1.0000 - val_loss: 1.9564 - val_accuracy: 0.7529 - val_auc: 0.9818 - val_recall: 0.0580 - val_precision: 1.0000\n",
            "Epoch 313/500\n",
            "84/84 - 16s - loss: 1.8007 - accuracy: 0.8048 - auc: 0.9956 - recall: 0.0760 - precision: 1.0000 - val_loss: 1.9539 - val_accuracy: 0.7512 - val_auc: 0.9820 - val_recall: 0.0580 - val_precision: 1.0000\n",
            "Epoch 314/500\n",
            "84/84 - 16s - loss: 1.7986 - accuracy: 0.8063 - auc: 0.9954 - recall: 0.0771 - precision: 1.0000 - val_loss: 1.9510 - val_accuracy: 0.7546 - val_auc: 0.9820 - val_recall: 0.0597 - val_precision: 1.0000\n",
            "Epoch 315/500\n",
            "84/84 - 16s - loss: 1.7941 - accuracy: 0.8105 - auc: 0.9954 - recall: 0.0760 - precision: 1.0000 - val_loss: 1.9484 - val_accuracy: 0.7546 - val_auc: 0.9820 - val_recall: 0.0597 - val_precision: 1.0000\n",
            "Epoch 316/500\n",
            "84/84 - 16s - loss: 1.7934 - accuracy: 0.8142 - auc: 0.9956 - recall: 0.0763 - precision: 1.0000 - val_loss: 1.9461 - val_accuracy: 0.7529 - val_auc: 0.9821 - val_recall: 0.0614 - val_precision: 1.0000\n",
            "Epoch 317/500\n",
            "84/84 - 16s - loss: 1.7903 - accuracy: 0.8127 - auc: 0.9955 - recall: 0.0782 - precision: 1.0000 - val_loss: 1.9437 - val_accuracy: 0.7546 - val_auc: 0.9820 - val_recall: 0.0614 - val_precision: 1.0000\n",
            "Epoch 318/500\n",
            "84/84 - 16s - loss: 1.7866 - accuracy: 0.8120 - auc: 0.9957 - recall: 0.0805 - precision: 1.0000 - val_loss: 1.9419 - val_accuracy: 0.7579 - val_auc: 0.9821 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 319/500\n",
            "84/84 - 16s - loss: 1.7842 - accuracy: 0.8097 - auc: 0.9953 - recall: 0.0797 - precision: 1.0000 - val_loss: 1.9397 - val_accuracy: 0.7562 - val_auc: 0.9821 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 320/500\n",
            "84/84 - 16s - loss: 1.7823 - accuracy: 0.8120 - auc: 0.9953 - recall: 0.0801 - precision: 1.0000 - val_loss: 1.9383 - val_accuracy: 0.7529 - val_auc: 0.9822 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 321/500\n",
            "84/84 - 16s - loss: 1.7808 - accuracy: 0.8097 - auc: 0.9956 - recall: 0.0794 - precision: 1.0000 - val_loss: 1.9359 - val_accuracy: 0.7595 - val_auc: 0.9821 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 322/500\n",
            "84/84 - 16s - loss: 1.7785 - accuracy: 0.8112 - auc: 0.9957 - recall: 0.0809 - precision: 1.0000 - val_loss: 1.9339 - val_accuracy: 0.7562 - val_auc: 0.9822 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 323/500\n",
            "84/84 - 16s - loss: 1.7757 - accuracy: 0.8161 - auc: 0.9955 - recall: 0.0809 - precision: 1.0000 - val_loss: 1.9317 - val_accuracy: 0.7579 - val_auc: 0.9823 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 324/500\n",
            "84/84 - 16s - loss: 1.7728 - accuracy: 0.8161 - auc: 0.9956 - recall: 0.0820 - precision: 1.0000 - val_loss: 1.9293 - val_accuracy: 0.7595 - val_auc: 0.9822 - val_recall: 0.0630 - val_precision: 1.0000\n",
            "Epoch 325/500\n",
            "84/84 - 16s - loss: 1.7691 - accuracy: 0.8153 - auc: 0.9958 - recall: 0.0824 - precision: 1.0000 - val_loss: 1.9269 - val_accuracy: 0.7579 - val_auc: 0.9824 - val_recall: 0.0647 - val_precision: 1.0000\n",
            "Epoch 326/500\n",
            "84/84 - 16s - loss: 1.7676 - accuracy: 0.8108 - auc: 0.9956 - recall: 0.0850 - precision: 1.0000 - val_loss: 1.9242 - val_accuracy: 0.7612 - val_auc: 0.9822 - val_recall: 0.0647 - val_precision: 1.0000\n",
            "Epoch 327/500\n",
            "84/84 - 16s - loss: 1.7645 - accuracy: 0.8165 - auc: 0.9954 - recall: 0.0835 - precision: 1.0000 - val_loss: 1.9212 - val_accuracy: 0.7629 - val_auc: 0.9824 - val_recall: 0.0663 - val_precision: 1.0000\n",
            "Epoch 328/500\n",
            "84/84 - 16s - loss: 1.7627 - accuracy: 0.8135 - auc: 0.9957 - recall: 0.0839 - precision: 1.0000 - val_loss: 1.9192 - val_accuracy: 0.7629 - val_auc: 0.9824 - val_recall: 0.0680 - val_precision: 1.0000\n",
            "Epoch 329/500\n",
            "84/84 - 16s - loss: 1.7590 - accuracy: 0.8112 - auc: 0.9957 - recall: 0.0827 - precision: 1.0000 - val_loss: 1.9170 - val_accuracy: 0.7629 - val_auc: 0.9825 - val_recall: 0.0647 - val_precision: 1.0000\n",
            "Epoch 330/500\n",
            "84/84 - 16s - loss: 1.7563 - accuracy: 0.8161 - auc: 0.9955 - recall: 0.0831 - precision: 1.0000 - val_loss: 1.9148 - val_accuracy: 0.7629 - val_auc: 0.9825 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 331/500\n",
            "84/84 - 16s - loss: 1.7550 - accuracy: 0.8202 - auc: 0.9958 - recall: 0.0827 - precision: 1.0000 - val_loss: 1.9120 - val_accuracy: 0.7629 - val_auc: 0.9826 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 332/500\n",
            "84/84 - 16s - loss: 1.7529 - accuracy: 0.8180 - auc: 0.9956 - recall: 0.0839 - precision: 1.0000 - val_loss: 1.9096 - val_accuracy: 0.7629 - val_auc: 0.9826 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 333/500\n",
            "84/84 - 16s - loss: 1.7501 - accuracy: 0.8191 - auc: 0.9958 - recall: 0.0846 - precision: 1.0000 - val_loss: 1.9070 - val_accuracy: 0.7629 - val_auc: 0.9827 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 334/500\n",
            "84/84 - 16s - loss: 1.7463 - accuracy: 0.8168 - auc: 0.9958 - recall: 0.0850 - precision: 1.0000 - val_loss: 1.9048 - val_accuracy: 0.7629 - val_auc: 0.9826 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 335/500\n",
            "84/84 - 16s - loss: 1.7444 - accuracy: 0.8153 - auc: 0.9957 - recall: 0.0854 - precision: 1.0000 - val_loss: 1.9023 - val_accuracy: 0.7645 - val_auc: 0.9826 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 336/500\n",
            "84/84 - 16s - loss: 1.7404 - accuracy: 0.8184 - auc: 0.9958 - recall: 0.0861 - precision: 1.0000 - val_loss: 1.8999 - val_accuracy: 0.7645 - val_auc: 0.9827 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 337/500\n",
            "84/84 - 16s - loss: 1.7397 - accuracy: 0.8191 - auc: 0.9957 - recall: 0.0857 - precision: 1.0000 - val_loss: 1.8973 - val_accuracy: 0.7645 - val_auc: 0.9827 - val_recall: 0.0697 - val_precision: 1.0000\n",
            "Epoch 338/500\n",
            "84/84 - 16s - loss: 1.7358 - accuracy: 0.8240 - auc: 0.9957 - recall: 0.0873 - precision: 1.0000 - val_loss: 1.8952 - val_accuracy: 0.7645 - val_auc: 0.9828 - val_recall: 0.0713 - val_precision: 1.0000\n",
            "Epoch 339/500\n",
            "84/84 - 16s - loss: 1.7333 - accuracy: 0.8225 - auc: 0.9958 - recall: 0.0873 - precision: 1.0000 - val_loss: 1.8932 - val_accuracy: 0.7662 - val_auc: 0.9827 - val_recall: 0.0730 - val_precision: 1.0000\n",
            "Epoch 340/500\n",
            "84/84 - 16s - loss: 1.7290 - accuracy: 0.8217 - auc: 0.9959 - recall: 0.0873 - precision: 1.0000 - val_loss: 1.8907 - val_accuracy: 0.7662 - val_auc: 0.9828 - val_recall: 0.0730 - val_precision: 1.0000\n",
            "Epoch 341/500\n",
            "84/84 - 16s - loss: 1.7281 - accuracy: 0.8217 - auc: 0.9957 - recall: 0.0869 - precision: 1.0000 - val_loss: 1.8882 - val_accuracy: 0.7662 - val_auc: 0.9828 - val_recall: 0.0730 - val_precision: 1.0000\n",
            "Epoch 342/500\n",
            "84/84 - 16s - loss: 1.7253 - accuracy: 0.8217 - auc: 0.9958 - recall: 0.0861 - precision: 1.0000 - val_loss: 1.8859 - val_accuracy: 0.7678 - val_auc: 0.9828 - val_recall: 0.0746 - val_precision: 1.0000\n",
            "Epoch 343/500\n",
            "84/84 - 16s - loss: 1.7226 - accuracy: 0.8229 - auc: 0.9958 - recall: 0.0903 - precision: 1.0000 - val_loss: 1.8834 - val_accuracy: 0.7678 - val_auc: 0.9828 - val_recall: 0.0746 - val_precision: 1.0000\n",
            "Epoch 344/500\n",
            "84/84 - 16s - loss: 1.7194 - accuracy: 0.8202 - auc: 0.9959 - recall: 0.0891 - precision: 1.0000 - val_loss: 1.8815 - val_accuracy: 0.7678 - val_auc: 0.9829 - val_recall: 0.0746 - val_precision: 1.0000\n",
            "Epoch 345/500\n",
            "84/84 - 16s - loss: 1.7165 - accuracy: 0.8206 - auc: 0.9959 - recall: 0.0906 - precision: 1.0000 - val_loss: 1.8794 - val_accuracy: 0.7662 - val_auc: 0.9827 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 346/500\n",
            "84/84 - 16s - loss: 1.7152 - accuracy: 0.8221 - auc: 0.9958 - recall: 0.0933 - precision: 1.0000 - val_loss: 1.8777 - val_accuracy: 0.7662 - val_auc: 0.9829 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 347/500\n",
            "84/84 - 16s - loss: 1.7124 - accuracy: 0.8172 - auc: 0.9959 - recall: 0.0914 - precision: 1.0000 - val_loss: 1.8756 - val_accuracy: 0.7678 - val_auc: 0.9830 - val_recall: 0.0763 - val_precision: 1.0000\n",
            "Epoch 348/500\n",
            "84/84 - 16s - loss: 1.7118 - accuracy: 0.8221 - auc: 0.9959 - recall: 0.0929 - precision: 1.0000 - val_loss: 1.8731 - val_accuracy: 0.7678 - val_auc: 0.9830 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 349/500\n",
            "84/84 - 16s - loss: 1.7078 - accuracy: 0.8232 - auc: 0.9960 - recall: 0.0936 - precision: 1.0000 - val_loss: 1.8709 - val_accuracy: 0.7678 - val_auc: 0.9830 - val_recall: 0.0796 - val_precision: 1.0000\n",
            "Epoch 350/500\n",
            "84/84 - 16s - loss: 1.7064 - accuracy: 0.8221 - auc: 0.9959 - recall: 0.0940 - precision: 1.0000 - val_loss: 1.8691 - val_accuracy: 0.7678 - val_auc: 0.9830 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 351/500\n",
            "84/84 - 16s - loss: 1.7028 - accuracy: 0.8229 - auc: 0.9959 - recall: 0.0936 - precision: 1.0000 - val_loss: 1.8674 - val_accuracy: 0.7662 - val_auc: 0.9830 - val_recall: 0.0779 - val_precision: 1.0000\n",
            "Epoch 352/500\n",
            "84/84 - 16s - loss: 1.7009 - accuracy: 0.8263 - auc: 0.9960 - recall: 0.0959 - precision: 1.0000 - val_loss: 1.8647 - val_accuracy: 0.7695 - val_auc: 0.9830 - val_recall: 0.0796 - val_precision: 1.0000\n",
            "Epoch 353/500\n",
            "84/84 - 16s - loss: 1.6998 - accuracy: 0.8255 - auc: 0.9957 - recall: 0.0959 - precision: 1.0000 - val_loss: 1.8628 - val_accuracy: 0.7695 - val_auc: 0.9830 - val_recall: 0.0796 - val_precision: 1.0000\n",
            "Epoch 354/500\n",
            "84/84 - 16s - loss: 1.6973 - accuracy: 0.8259 - auc: 0.9958 - recall: 0.0948 - precision: 1.0000 - val_loss: 1.8606 - val_accuracy: 0.7695 - val_auc: 0.9830 - val_recall: 0.0813 - val_precision: 1.0000\n",
            "Epoch 355/500\n",
            "84/84 - 16s - loss: 1.6936 - accuracy: 0.8263 - auc: 0.9960 - recall: 0.0955 - precision: 1.0000 - val_loss: 1.8580 - val_accuracy: 0.7695 - val_auc: 0.9831 - val_recall: 0.0813 - val_precision: 1.0000\n",
            "Epoch 356/500\n",
            "84/84 - 16s - loss: 1.6902 - accuracy: 0.8225 - auc: 0.9960 - recall: 0.0974 - precision: 1.0000 - val_loss: 1.8553 - val_accuracy: 0.7695 - val_auc: 0.9831 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 357/500\n",
            "84/84 - 16s - loss: 1.6880 - accuracy: 0.8285 - auc: 0.9959 - recall: 0.0993 - precision: 1.0000 - val_loss: 1.8530 - val_accuracy: 0.7711 - val_auc: 0.9831 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 358/500\n",
            "84/84 - 16s - loss: 1.6865 - accuracy: 0.8225 - auc: 0.9958 - recall: 0.0993 - precision: 1.0000 - val_loss: 1.8505 - val_accuracy: 0.7695 - val_auc: 0.9832 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 359/500\n",
            "84/84 - 16s - loss: 1.6858 - accuracy: 0.8232 - auc: 0.9959 - recall: 0.1012 - precision: 1.0000 - val_loss: 1.8489 - val_accuracy: 0.7695 - val_auc: 0.9833 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 360/500\n",
            "84/84 - 16s - loss: 1.6806 - accuracy: 0.8281 - auc: 0.9960 - recall: 0.1015 - precision: 1.0000 - val_loss: 1.8462 - val_accuracy: 0.7695 - val_auc: 0.9832 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 361/500\n",
            "84/84 - 16s - loss: 1.6795 - accuracy: 0.8274 - auc: 0.9960 - recall: 0.0997 - precision: 1.0000 - val_loss: 1.8441 - val_accuracy: 0.7695 - val_auc: 0.9832 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 362/500\n",
            "84/84 - 16s - loss: 1.6757 - accuracy: 0.8274 - auc: 0.9962 - recall: 0.1030 - precision: 1.0000 - val_loss: 1.8419 - val_accuracy: 0.7711 - val_auc: 0.9833 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 363/500\n",
            "84/84 - 16s - loss: 1.6742 - accuracy: 0.8225 - auc: 0.9961 - recall: 0.1030 - precision: 1.0000 - val_loss: 1.8397 - val_accuracy: 0.7711 - val_auc: 0.9833 - val_recall: 0.0829 - val_precision: 1.0000\n",
            "Epoch 364/500\n",
            "84/84 - 16s - loss: 1.6701 - accuracy: 0.8263 - auc: 0.9961 - recall: 0.1019 - precision: 1.0000 - val_loss: 1.8373 - val_accuracy: 0.7695 - val_auc: 0.9832 - val_recall: 0.0862 - val_precision: 1.0000\n",
            "Epoch 365/500\n",
            "84/84 - 16s - loss: 1.6672 - accuracy: 0.8323 - auc: 0.9961 - recall: 0.1042 - precision: 1.0000 - val_loss: 1.8349 - val_accuracy: 0.7695 - val_auc: 0.9832 - val_recall: 0.0879 - val_precision: 1.0000\n",
            "Epoch 366/500\n",
            "84/84 - 16s - loss: 1.6655 - accuracy: 0.8270 - auc: 0.9962 - recall: 0.0997 - precision: 1.0000 - val_loss: 1.8337 - val_accuracy: 0.7678 - val_auc: 0.9833 - val_recall: 0.0862 - val_precision: 1.0000\n",
            "Epoch 367/500\n",
            "84/84 - 16s - loss: 1.6648 - accuracy: 0.8341 - auc: 0.9958 - recall: 0.1042 - precision: 1.0000 - val_loss: 1.8313 - val_accuracy: 0.7695 - val_auc: 0.9833 - val_recall: 0.0879 - val_precision: 1.0000\n",
            "Epoch 368/500\n",
            "84/84 - 16s - loss: 1.6618 - accuracy: 0.8330 - auc: 0.9960 - recall: 0.1064 - precision: 1.0000 - val_loss: 1.8291 - val_accuracy: 0.7711 - val_auc: 0.9833 - val_recall: 0.0879 - val_precision: 1.0000\n",
            "Epoch 369/500\n",
            "84/84 - 16s - loss: 1.6598 - accuracy: 0.8304 - auc: 0.9962 - recall: 0.1053 - precision: 1.0000 - val_loss: 1.8266 - val_accuracy: 0.7711 - val_auc: 0.9834 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 370/500\n",
            "84/84 - 16s - loss: 1.6558 - accuracy: 0.8338 - auc: 0.9960 - recall: 0.1057 - precision: 1.0000 - val_loss: 1.8248 - val_accuracy: 0.7711 - val_auc: 0.9834 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 371/500\n",
            "84/84 - 16s - loss: 1.6548 - accuracy: 0.8319 - auc: 0.9959 - recall: 0.1053 - precision: 1.0000 - val_loss: 1.8227 - val_accuracy: 0.7711 - val_auc: 0.9835 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 372/500\n",
            "84/84 - 16s - loss: 1.6544 - accuracy: 0.8360 - auc: 0.9959 - recall: 0.1064 - precision: 1.0000 - val_loss: 1.8205 - val_accuracy: 0.7711 - val_auc: 0.9834 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 373/500\n",
            "84/84 - 16s - loss: 1.6492 - accuracy: 0.8349 - auc: 0.9961 - recall: 0.1042 - precision: 1.0000 - val_loss: 1.8189 - val_accuracy: 0.7711 - val_auc: 0.9832 - val_recall: 0.0879 - val_precision: 1.0000\n",
            "Epoch 374/500\n",
            "84/84 - 16s - loss: 1.6470 - accuracy: 0.8330 - auc: 0.9961 - recall: 0.1109 - precision: 1.0000 - val_loss: 1.8174 - val_accuracy: 0.7695 - val_auc: 0.9833 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 375/500\n",
            "84/84 - 16s - loss: 1.6448 - accuracy: 0.8323 - auc: 0.9960 - recall: 0.1132 - precision: 1.0000 - val_loss: 1.8147 - val_accuracy: 0.7695 - val_auc: 0.9833 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 376/500\n",
            "84/84 - 16s - loss: 1.6414 - accuracy: 0.8353 - auc: 0.9961 - recall: 0.1098 - precision: 1.0000 - val_loss: 1.8124 - val_accuracy: 0.7728 - val_auc: 0.9833 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 377/500\n",
            "84/84 - 16s - loss: 1.6402 - accuracy: 0.8353 - auc: 0.9961 - recall: 0.1117 - precision: 1.0000 - val_loss: 1.8099 - val_accuracy: 0.7711 - val_auc: 0.9834 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 378/500\n",
            "84/84 - 16s - loss: 1.6363 - accuracy: 0.8341 - auc: 0.9959 - recall: 0.1102 - precision: 1.0000 - val_loss: 1.8074 - val_accuracy: 0.7745 - val_auc: 0.9834 - val_recall: 0.0929 - val_precision: 1.0000\n",
            "Epoch 379/500\n",
            "84/84 - 16s - loss: 1.6351 - accuracy: 0.8353 - auc: 0.9962 - recall: 0.1132 - precision: 1.0000 - val_loss: 1.8054 - val_accuracy: 0.7745 - val_auc: 0.9835 - val_recall: 0.0896 - val_precision: 1.0000\n",
            "Epoch 380/500\n",
            "84/84 - 16s - loss: 1.6320 - accuracy: 0.8319 - auc: 0.9961 - recall: 0.1147 - precision: 1.0000 - val_loss: 1.8035 - val_accuracy: 0.7711 - val_auc: 0.9834 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 381/500\n",
            "84/84 - 16s - loss: 1.6313 - accuracy: 0.8338 - auc: 0.9962 - recall: 0.1151 - precision: 1.0000 - val_loss: 1.8017 - val_accuracy: 0.7695 - val_auc: 0.9834 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 382/500\n",
            "84/84 - 16s - loss: 1.6290 - accuracy: 0.8330 - auc: 0.9962 - recall: 0.1140 - precision: 1.0000 - val_loss: 1.7999 - val_accuracy: 0.7728 - val_auc: 0.9834 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 383/500\n",
            "84/84 - 16s - loss: 1.6256 - accuracy: 0.8357 - auc: 0.9963 - recall: 0.1124 - precision: 1.0000 - val_loss: 1.7974 - val_accuracy: 0.7745 - val_auc: 0.9834 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 384/500\n",
            "84/84 - 16s - loss: 1.6240 - accuracy: 0.8368 - auc: 0.9962 - recall: 0.1181 - precision: 1.0000 - val_loss: 1.7950 - val_accuracy: 0.7745 - val_auc: 0.9836 - val_recall: 0.0912 - val_precision: 1.0000\n",
            "Epoch 385/500\n",
            "84/84 - 16s - loss: 1.6207 - accuracy: 0.8357 - auc: 0.9961 - recall: 0.1173 - precision: 1.0000 - val_loss: 1.7928 - val_accuracy: 0.7761 - val_auc: 0.9835 - val_recall: 0.0945 - val_precision: 1.0000\n",
            "Epoch 386/500\n",
            "84/84 - 16s - loss: 1.6184 - accuracy: 0.8349 - auc: 0.9961 - recall: 0.1166 - precision: 1.0000 - val_loss: 1.7911 - val_accuracy: 0.7778 - val_auc: 0.9836 - val_recall: 0.0945 - val_precision: 1.0000\n",
            "Epoch 387/500\n",
            "84/84 - 16s - loss: 1.6173 - accuracy: 0.8390 - auc: 0.9960 - recall: 0.1173 - precision: 1.0000 - val_loss: 1.7889 - val_accuracy: 0.7761 - val_auc: 0.9836 - val_recall: 0.0995 - val_precision: 1.0000\n",
            "Epoch 388/500\n",
            "84/84 - 16s - loss: 1.6166 - accuracy: 0.8402 - auc: 0.9962 - recall: 0.1196 - precision: 1.0000 - val_loss: 1.7869 - val_accuracy: 0.7745 - val_auc: 0.9836 - val_recall: 0.0962 - val_precision: 1.0000\n",
            "Epoch 389/500\n",
            "84/84 - 16s - loss: 1.6125 - accuracy: 0.8387 - auc: 0.9962 - recall: 0.1211 - precision: 1.0000 - val_loss: 1.7849 - val_accuracy: 0.7745 - val_auc: 0.9836 - val_recall: 0.0995 - val_precision: 1.0000\n",
            "Epoch 390/500\n",
            "84/84 - 16s - loss: 1.6123 - accuracy: 0.8379 - auc: 0.9960 - recall: 0.1230 - precision: 1.0000 - val_loss: 1.7827 - val_accuracy: 0.7745 - val_auc: 0.9835 - val_recall: 0.0995 - val_precision: 1.0000\n",
            "Epoch 391/500\n",
            "84/84 - 16s - loss: 1.6070 - accuracy: 0.8372 - auc: 0.9962 - recall: 0.1219 - precision: 1.0000 - val_loss: 1.7807 - val_accuracy: 0.7761 - val_auc: 0.9837 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 392/500\n",
            "84/84 - 16s - loss: 1.6058 - accuracy: 0.8424 - auc: 0.9960 - recall: 0.1200 - precision: 1.0000 - val_loss: 1.7785 - val_accuracy: 0.7761 - val_auc: 0.9837 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 393/500\n",
            "84/84 - 16s - loss: 1.6032 - accuracy: 0.8353 - auc: 0.9962 - recall: 0.1264 - precision: 1.0000 - val_loss: 1.7768 - val_accuracy: 0.7761 - val_auc: 0.9837 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 394/500\n",
            "84/84 - 16s - loss: 1.6004 - accuracy: 0.8409 - auc: 0.9963 - recall: 0.1260 - precision: 1.0000 - val_loss: 1.7750 - val_accuracy: 0.7761 - val_auc: 0.9838 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 395/500\n",
            "84/84 - 16s - loss: 1.5978 - accuracy: 0.8402 - auc: 0.9961 - recall: 0.1222 - precision: 1.0000 - val_loss: 1.7728 - val_accuracy: 0.7761 - val_auc: 0.9839 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 396/500\n",
            "84/84 - 16s - loss: 1.5961 - accuracy: 0.8368 - auc: 0.9960 - recall: 0.1267 - precision: 1.0000 - val_loss: 1.7707 - val_accuracy: 0.7778 - val_auc: 0.9840 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 397/500\n",
            "84/84 - 16s - loss: 1.5940 - accuracy: 0.8372 - auc: 0.9962 - recall: 0.1279 - precision: 1.0000 - val_loss: 1.7687 - val_accuracy: 0.7778 - val_auc: 0.9840 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 398/500\n",
            "84/84 - 16s - loss: 1.5906 - accuracy: 0.8424 - auc: 0.9964 - recall: 0.1282 - precision: 1.0000 - val_loss: 1.7668 - val_accuracy: 0.7778 - val_auc: 0.9840 - val_recall: 0.1028 - val_precision: 1.0000\n",
            "Epoch 399/500\n",
            "84/84 - 16s - loss: 1.5890 - accuracy: 0.8390 - auc: 0.9961 - recall: 0.1252 - precision: 1.0000 - val_loss: 1.7642 - val_accuracy: 0.7728 - val_auc: 0.9840 - val_recall: 0.1078 - val_precision: 1.0000\n",
            "Epoch 400/500\n",
            "84/84 - 16s - loss: 1.5857 - accuracy: 0.8387 - auc: 0.9963 - recall: 0.1275 - precision: 1.0000 - val_loss: 1.7623 - val_accuracy: 0.7761 - val_auc: 0.9841 - val_recall: 0.1078 - val_precision: 1.0000\n",
            "Epoch 401/500\n",
            "84/84 - 16s - loss: 1.5840 - accuracy: 0.8390 - auc: 0.9961 - recall: 0.1301 - precision: 1.0000 - val_loss: 1.7605 - val_accuracy: 0.7761 - val_auc: 0.9839 - val_recall: 0.1078 - val_precision: 1.0000\n",
            "Epoch 402/500\n",
            "84/84 - 16s - loss: 1.5806 - accuracy: 0.8409 - auc: 0.9962 - recall: 0.1339 - precision: 1.0000 - val_loss: 1.7583 - val_accuracy: 0.7745 - val_auc: 0.9840 - val_recall: 0.1078 - val_precision: 1.0000\n",
            "Epoch 403/500\n",
            "84/84 - 16s - loss: 1.5780 - accuracy: 0.8417 - auc: 0.9963 - recall: 0.1328 - precision: 1.0000 - val_loss: 1.7563 - val_accuracy: 0.7728 - val_auc: 0.9841 - val_recall: 0.1095 - val_precision: 1.0000\n",
            "Epoch 404/500\n",
            "84/84 - 16s - loss: 1.5777 - accuracy: 0.8409 - auc: 0.9965 - recall: 0.1358 - precision: 1.0000 - val_loss: 1.7544 - val_accuracy: 0.7761 - val_auc: 0.9841 - val_recall: 0.1095 - val_precision: 1.0000\n",
            "Epoch 405/500\n",
            "84/84 - 16s - loss: 1.5744 - accuracy: 0.8368 - auc: 0.9961 - recall: 0.1369 - precision: 1.0000 - val_loss: 1.7524 - val_accuracy: 0.7761 - val_auc: 0.9841 - val_recall: 0.1095 - val_precision: 1.0000\n",
            "Epoch 406/500\n",
            "84/84 - 16s - loss: 1.5737 - accuracy: 0.8420 - auc: 0.9963 - recall: 0.1376 - precision: 1.0000 - val_loss: 1.7508 - val_accuracy: 0.7811 - val_auc: 0.9841 - val_recall: 0.1095 - val_precision: 1.0000\n",
            "Epoch 407/500\n",
            "84/84 - 16s - loss: 1.5698 - accuracy: 0.8417 - auc: 0.9964 - recall: 0.1369 - precision: 1.0000 - val_loss: 1.7486 - val_accuracy: 0.7811 - val_auc: 0.9841 - val_recall: 0.1111 - val_precision: 1.0000\n",
            "Epoch 408/500\n",
            "84/84 - 16s - loss: 1.5686 - accuracy: 0.8387 - auc: 0.9963 - recall: 0.1392 - precision: 1.0000 - val_loss: 1.7466 - val_accuracy: 0.7794 - val_auc: 0.9841 - val_recall: 0.1128 - val_precision: 1.0000\n",
            "Epoch 409/500\n",
            "84/84 - 16s - loss: 1.5668 - accuracy: 0.8428 - auc: 0.9963 - recall: 0.1403 - precision: 1.0000 - val_loss: 1.7448 - val_accuracy: 0.7778 - val_auc: 0.9842 - val_recall: 0.1144 - val_precision: 1.0000\n",
            "Epoch 410/500\n",
            "84/84 - 16s - loss: 1.5631 - accuracy: 0.8451 - auc: 0.9963 - recall: 0.1384 - precision: 1.0000 - val_loss: 1.7425 - val_accuracy: 0.7828 - val_auc: 0.9842 - val_recall: 0.1144 - val_precision: 1.0000\n",
            "Epoch 411/500\n",
            "84/84 - 16s - loss: 1.5609 - accuracy: 0.8436 - auc: 0.9962 - recall: 0.1395 - precision: 1.0000 - val_loss: 1.7406 - val_accuracy: 0.7828 - val_auc: 0.9842 - val_recall: 0.1227 - val_precision: 1.0000\n",
            "Epoch 412/500\n",
            "84/84 - 16s - loss: 1.5606 - accuracy: 0.8409 - auc: 0.9963 - recall: 0.1403 - precision: 1.0000 - val_loss: 1.7383 - val_accuracy: 0.7828 - val_auc: 0.9842 - val_recall: 0.1211 - val_precision: 1.0000\n",
            "Epoch 413/500\n",
            "84/84 - 16s - loss: 1.5574 - accuracy: 0.8469 - auc: 0.9963 - recall: 0.1399 - precision: 1.0000 - val_loss: 1.7359 - val_accuracy: 0.7828 - val_auc: 0.9842 - val_recall: 0.1211 - val_precision: 1.0000\n",
            "Epoch 414/500\n",
            "84/84 - 16s - loss: 1.5546 - accuracy: 0.8428 - auc: 0.9964 - recall: 0.1407 - precision: 1.0000 - val_loss: 1.7338 - val_accuracy: 0.7828 - val_auc: 0.9842 - val_recall: 0.1244 - val_precision: 1.0000\n",
            "Epoch 415/500\n",
            "84/84 - 16s - loss: 1.5520 - accuracy: 0.8454 - auc: 0.9964 - recall: 0.1403 - precision: 1.0000 - val_loss: 1.7315 - val_accuracy: 0.7828 - val_auc: 0.9843 - val_recall: 0.1244 - val_precision: 1.0000\n",
            "Epoch 416/500\n",
            "84/84 - 16s - loss: 1.5486 - accuracy: 0.8477 - auc: 0.9965 - recall: 0.1444 - precision: 1.0000 - val_loss: 1.7294 - val_accuracy: 0.7844 - val_auc: 0.9844 - val_recall: 0.1277 - val_precision: 1.0000\n",
            "Epoch 417/500\n",
            "84/84 - 16s - loss: 1.5467 - accuracy: 0.8477 - auc: 0.9962 - recall: 0.1474 - precision: 1.0000 - val_loss: 1.7273 - val_accuracy: 0.7828 - val_auc: 0.9843 - val_recall: 0.1310 - val_precision: 1.0000\n",
            "Epoch 418/500\n",
            "84/84 - 16s - loss: 1.5458 - accuracy: 0.8451 - auc: 0.9964 - recall: 0.1455 - precision: 1.0000 - val_loss: 1.7255 - val_accuracy: 0.7828 - val_auc: 0.9843 - val_recall: 0.1327 - val_precision: 1.0000\n",
            "Epoch 419/500\n",
            "84/84 - 16s - loss: 1.5427 - accuracy: 0.8492 - auc: 0.9964 - recall: 0.1463 - precision: 1.0000 - val_loss: 1.7232 - val_accuracy: 0.7844 - val_auc: 0.9844 - val_recall: 0.1327 - val_precision: 1.0000\n",
            "Epoch 420/500\n",
            "84/84 - 16s - loss: 1.5408 - accuracy: 0.8481 - auc: 0.9964 - recall: 0.1455 - precision: 1.0000 - val_loss: 1.7211 - val_accuracy: 0.7861 - val_auc: 0.9844 - val_recall: 0.1360 - val_precision: 1.0000\n",
            "Epoch 421/500\n",
            "84/84 - 16s - loss: 1.5396 - accuracy: 0.8477 - auc: 0.9962 - recall: 0.1459 - precision: 1.0000 - val_loss: 1.7188 - val_accuracy: 0.7861 - val_auc: 0.9844 - val_recall: 0.1376 - val_precision: 1.0000\n",
            "Epoch 422/500\n",
            "84/84 - 16s - loss: 1.5357 - accuracy: 0.8458 - auc: 0.9965 - recall: 0.1474 - precision: 1.0000 - val_loss: 1.7167 - val_accuracy: 0.7861 - val_auc: 0.9846 - val_recall: 0.1360 - val_precision: 1.0000\n",
            "Epoch 423/500\n",
            "84/84 - 16s - loss: 1.5339 - accuracy: 0.8492 - auc: 0.9963 - recall: 0.1489 - precision: 1.0000 - val_loss: 1.7144 - val_accuracy: 0.7861 - val_auc: 0.9844 - val_recall: 0.1376 - val_precision: 1.0000\n",
            "Epoch 424/500\n",
            "84/84 - 16s - loss: 1.5315 - accuracy: 0.8481 - auc: 0.9966 - recall: 0.1501 - precision: 1.0000 - val_loss: 1.7122 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1376 - val_precision: 1.0000\n",
            "Epoch 425/500\n",
            "84/84 - 16s - loss: 1.5288 - accuracy: 0.8511 - auc: 0.9965 - recall: 0.1523 - precision: 1.0000 - val_loss: 1.7101 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 426/500\n",
            "84/84 - 16s - loss: 1.5264 - accuracy: 0.8492 - auc: 0.9965 - recall: 0.1516 - precision: 1.0000 - val_loss: 1.7083 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 427/500\n",
            "84/84 - 16s - loss: 1.5240 - accuracy: 0.8518 - auc: 0.9965 - recall: 0.1508 - precision: 1.0000 - val_loss: 1.7063 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 428/500\n",
            "84/84 - 16s - loss: 1.5223 - accuracy: 0.8499 - auc: 0.9964 - recall: 0.1549 - precision: 1.0000 - val_loss: 1.7042 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 429/500\n",
            "84/84 - 16s - loss: 1.5187 - accuracy: 0.8507 - auc: 0.9966 - recall: 0.1580 - precision: 1.0000 - val_loss: 1.7022 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 430/500\n",
            "84/84 - 16s - loss: 1.5193 - accuracy: 0.8503 - auc: 0.9966 - recall: 0.1546 - precision: 1.0000 - val_loss: 1.7007 - val_accuracy: 0.7861 - val_auc: 0.9845 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 431/500\n",
            "84/84 - 16s - loss: 1.5145 - accuracy: 0.8533 - auc: 0.9965 - recall: 0.1572 - precision: 1.0000 - val_loss: 1.6990 - val_accuracy: 0.7877 - val_auc: 0.9846 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 432/500\n",
            "84/84 - 16s - loss: 1.5133 - accuracy: 0.8481 - auc: 0.9964 - recall: 0.1613 - precision: 1.0000 - val_loss: 1.6972 - val_accuracy: 0.7877 - val_auc: 0.9846 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 433/500\n",
            "84/84 - 16s - loss: 1.5096 - accuracy: 0.8499 - auc: 0.9965 - recall: 0.1583 - precision: 1.0000 - val_loss: 1.6949 - val_accuracy: 0.7861 - val_auc: 0.9846 - val_recall: 0.1393 - val_precision: 1.0000\n",
            "Epoch 434/500\n",
            "84/84 - 16s - loss: 1.5083 - accuracy: 0.8530 - auc: 0.9963 - recall: 0.1617 - precision: 1.0000 - val_loss: 1.6930 - val_accuracy: 0.7877 - val_auc: 0.9846 - val_recall: 0.1410 - val_precision: 1.0000\n",
            "Epoch 435/500\n",
            "84/84 - 16s - loss: 1.5064 - accuracy: 0.8522 - auc: 0.9965 - recall: 0.1670 - precision: 1.0000 - val_loss: 1.6911 - val_accuracy: 0.7877 - val_auc: 0.9847 - val_recall: 0.1410 - val_precision: 1.0000\n",
            "Epoch 436/500\n",
            "84/84 - 16s - loss: 1.5024 - accuracy: 0.8514 - auc: 0.9965 - recall: 0.1625 - precision: 1.0000 - val_loss: 1.6889 - val_accuracy: 0.7877 - val_auc: 0.9847 - val_recall: 0.1426 - val_precision: 1.0000\n",
            "Epoch 437/500\n",
            "84/84 - 16s - loss: 1.5019 - accuracy: 0.8511 - auc: 0.9965 - recall: 0.1655 - precision: 1.0000 - val_loss: 1.6870 - val_accuracy: 0.7861 - val_auc: 0.9847 - val_recall: 0.1443 - val_precision: 1.0000\n",
            "Epoch 438/500\n",
            "84/84 - 16s - loss: 1.4994 - accuracy: 0.8530 - auc: 0.9966 - recall: 0.1659 - precision: 1.0000 - val_loss: 1.6846 - val_accuracy: 0.7877 - val_auc: 0.9847 - val_recall: 0.1476 - val_precision: 1.0000\n",
            "Epoch 439/500\n",
            "84/84 - 16s - loss: 1.4960 - accuracy: 0.8530 - auc: 0.9965 - recall: 0.1659 - precision: 1.0000 - val_loss: 1.6827 - val_accuracy: 0.7861 - val_auc: 0.9848 - val_recall: 0.1476 - val_precision: 1.0000\n",
            "Epoch 440/500\n",
            "84/84 - 16s - loss: 1.4937 - accuracy: 0.8567 - auc: 0.9964 - recall: 0.1692 - precision: 1.0000 - val_loss: 1.6809 - val_accuracy: 0.7861 - val_auc: 0.9848 - val_recall: 0.1509 - val_precision: 1.0000\n",
            "Epoch 441/500\n",
            "84/84 - 16s - loss: 1.4910 - accuracy: 0.8522 - auc: 0.9963 - recall: 0.1659 - precision: 1.0000 - val_loss: 1.6792 - val_accuracy: 0.7861 - val_auc: 0.9848 - val_recall: 0.1509 - val_precision: 1.0000\n",
            "Epoch 442/500\n",
            "84/84 - 16s - loss: 1.4900 - accuracy: 0.8552 - auc: 0.9966 - recall: 0.1681 - precision: 1.0000 - val_loss: 1.6774 - val_accuracy: 0.7861 - val_auc: 0.9848 - val_recall: 0.1542 - val_precision: 1.0000\n",
            "Epoch 443/500\n",
            "84/84 - 16s - loss: 1.4882 - accuracy: 0.8526 - auc: 0.9967 - recall: 0.1749 - precision: 1.0000 - val_loss: 1.6750 - val_accuracy: 0.7861 - val_auc: 0.9848 - val_recall: 0.1542 - val_precision: 1.0000\n",
            "Epoch 444/500\n",
            "84/84 - 16s - loss: 1.4834 - accuracy: 0.8560 - auc: 0.9965 - recall: 0.1734 - precision: 1.0000 - val_loss: 1.6733 - val_accuracy: 0.7877 - val_auc: 0.9849 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 445/500\n",
            "84/84 - 16s - loss: 1.4821 - accuracy: 0.8530 - auc: 0.9966 - recall: 0.1745 - precision: 1.0000 - val_loss: 1.6714 - val_accuracy: 0.7877 - val_auc: 0.9850 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 446/500\n",
            "84/84 - 16s - loss: 1.4818 - accuracy: 0.8560 - auc: 0.9964 - recall: 0.1741 - precision: 1.0000 - val_loss: 1.6694 - val_accuracy: 0.7861 - val_auc: 0.9849 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 447/500\n",
            "84/84 - 16s - loss: 1.4789 - accuracy: 0.8567 - auc: 0.9966 - recall: 0.1734 - precision: 1.0000 - val_loss: 1.6672 - val_accuracy: 0.7861 - val_auc: 0.9849 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 448/500\n",
            "84/84 - 16s - loss: 1.4747 - accuracy: 0.8563 - auc: 0.9966 - recall: 0.1775 - precision: 1.0000 - val_loss: 1.6648 - val_accuracy: 0.7861 - val_auc: 0.9850 - val_recall: 0.1559 - val_precision: 1.0000\n",
            "Epoch 449/500\n",
            "84/84 - 16s - loss: 1.4754 - accuracy: 0.8545 - auc: 0.9966 - recall: 0.1764 - precision: 1.0000 - val_loss: 1.6632 - val_accuracy: 0.7861 - val_auc: 0.9850 - val_recall: 0.1575 - val_precision: 1.0000\n",
            "Epoch 450/500\n",
            "84/84 - 16s - loss: 1.4717 - accuracy: 0.8586 - auc: 0.9967 - recall: 0.1779 - precision: 1.0000 - val_loss: 1.6613 - val_accuracy: 0.7861 - val_auc: 0.9851 - val_recall: 0.1575 - val_precision: 1.0000\n",
            "Epoch 451/500\n",
            "84/84 - 16s - loss: 1.4700 - accuracy: 0.8616 - auc: 0.9966 - recall: 0.1783 - precision: 1.0000 - val_loss: 1.6591 - val_accuracy: 0.7861 - val_auc: 0.9850 - val_recall: 0.1575 - val_precision: 1.0000\n",
            "Epoch 452/500\n",
            "84/84 - 16s - loss: 1.4663 - accuracy: 0.8560 - auc: 0.9968 - recall: 0.1783 - precision: 1.0000 - val_loss: 1.6575 - val_accuracy: 0.7861 - val_auc: 0.9852 - val_recall: 0.1575 - val_precision: 1.0000\n",
            "Epoch 453/500\n",
            "84/84 - 16s - loss: 1.4658 - accuracy: 0.8578 - auc: 0.9964 - recall: 0.1801 - precision: 1.0000 - val_loss: 1.6559 - val_accuracy: 0.7861 - val_auc: 0.9851 - val_recall: 0.1575 - val_precision: 1.0000\n",
            "Epoch 454/500\n",
            "84/84 - 16s - loss: 1.4636 - accuracy: 0.8578 - auc: 0.9967 - recall: 0.1794 - precision: 1.0000 - val_loss: 1.6541 - val_accuracy: 0.7861 - val_auc: 0.9851 - val_recall: 0.1609 - val_precision: 1.0000\n",
            "Epoch 455/500\n",
            "84/84 - 16s - loss: 1.4596 - accuracy: 0.8624 - auc: 0.9968 - recall: 0.1843 - precision: 1.0000 - val_loss: 1.6516 - val_accuracy: 0.7861 - val_auc: 0.9852 - val_recall: 0.1609 - val_precision: 1.0000\n",
            "Epoch 456/500\n",
            "84/84 - 16s - loss: 1.4588 - accuracy: 0.8597 - auc: 0.9965 - recall: 0.1850 - precision: 1.0000 - val_loss: 1.6498 - val_accuracy: 0.7861 - val_auc: 0.9850 - val_recall: 0.1625 - val_precision: 1.0000\n",
            "Epoch 457/500\n",
            "84/84 - 16s - loss: 1.4570 - accuracy: 0.8631 - auc: 0.9966 - recall: 0.1835 - precision: 1.0000 - val_loss: 1.6481 - val_accuracy: 0.7877 - val_auc: 0.9852 - val_recall: 0.1625 - val_precision: 1.0000\n",
            "Epoch 458/500\n",
            "84/84 - 16s - loss: 1.4523 - accuracy: 0.8608 - auc: 0.9966 - recall: 0.1820 - precision: 1.0000 - val_loss: 1.6460 - val_accuracy: 0.7894 - val_auc: 0.9850 - val_recall: 0.1625 - val_precision: 1.0000\n",
            "Epoch 459/500\n",
            "84/84 - 16s - loss: 1.4518 - accuracy: 0.8635 - auc: 0.9966 - recall: 0.1858 - precision: 1.0000 - val_loss: 1.6435 - val_accuracy: 0.7894 - val_auc: 0.9850 - val_recall: 0.1625 - val_precision: 1.0000\n",
            "Epoch 460/500\n",
            "84/84 - 16s - loss: 1.4498 - accuracy: 0.8612 - auc: 0.9966 - recall: 0.1865 - precision: 1.0000 - val_loss: 1.6412 - val_accuracy: 0.7894 - val_auc: 0.9850 - val_recall: 0.1642 - val_precision: 1.0000\n",
            "Epoch 461/500\n",
            "84/84 - 16s - loss: 1.4472 - accuracy: 0.8639 - auc: 0.9966 - recall: 0.1862 - precision: 1.0000 - val_loss: 1.6393 - val_accuracy: 0.7910 - val_auc: 0.9849 - val_recall: 0.1658 - val_precision: 1.0000\n",
            "Epoch 462/500\n",
            "84/84 - 16s - loss: 1.4453 - accuracy: 0.8593 - auc: 0.9966 - recall: 0.1877 - precision: 1.0000 - val_loss: 1.6376 - val_accuracy: 0.7910 - val_auc: 0.9850 - val_recall: 0.1658 - val_precision: 1.0000\n",
            "Epoch 463/500\n",
            "84/84 - 16s - loss: 1.4415 - accuracy: 0.8661 - auc: 0.9968 - recall: 0.1865 - precision: 1.0000 - val_loss: 1.6357 - val_accuracy: 0.7910 - val_auc: 0.9851 - val_recall: 0.1658 - val_precision: 1.0000\n",
            "Epoch 464/500\n",
            "84/84 - 16s - loss: 1.4415 - accuracy: 0.8593 - auc: 0.9966 - recall: 0.1922 - precision: 1.0000 - val_loss: 1.6340 - val_accuracy: 0.7894 - val_auc: 0.9851 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 465/500\n",
            "84/84 - 16s - loss: 1.4386 - accuracy: 0.8639 - auc: 0.9967 - recall: 0.1910 - precision: 1.0000 - val_loss: 1.6321 - val_accuracy: 0.7910 - val_auc: 0.9851 - val_recall: 0.1675 - val_precision: 1.0000\n",
            "Epoch 466/500\n",
            "84/84 - 16s - loss: 1.4368 - accuracy: 0.8654 - auc: 0.9967 - recall: 0.1907 - precision: 1.0000 - val_loss: 1.6298 - val_accuracy: 0.7894 - val_auc: 0.9851 - val_recall: 0.1675 - val_precision: 1.0000\n",
            "Epoch 467/500\n",
            "84/84 - 16s - loss: 1.4329 - accuracy: 0.8635 - auc: 0.9968 - recall: 0.1926 - precision: 1.0000 - val_loss: 1.6277 - val_accuracy: 0.7894 - val_auc: 0.9851 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 468/500\n",
            "84/84 - 16s - loss: 1.4320 - accuracy: 0.8646 - auc: 0.9966 - recall: 0.1963 - precision: 1.0000 - val_loss: 1.6257 - val_accuracy: 0.7927 - val_auc: 0.9851 - val_recall: 0.1692 - val_precision: 1.0000\n",
            "Epoch 469/500\n",
            "84/84 - 16s - loss: 1.4304 - accuracy: 0.8680 - auc: 0.9966 - recall: 0.1948 - precision: 1.0000 - val_loss: 1.6238 - val_accuracy: 0.7927 - val_auc: 0.9852 - val_recall: 0.1708 - val_precision: 1.0000\n",
            "Epoch 470/500\n",
            "84/84 - 16s - loss: 1.4270 - accuracy: 0.8642 - auc: 0.9967 - recall: 0.1948 - precision: 1.0000 - val_loss: 1.6225 - val_accuracy: 0.7927 - val_auc: 0.9852 - val_recall: 0.1741 - val_precision: 1.0000\n",
            "Epoch 471/500\n",
            "84/84 - 16s - loss: 1.4246 - accuracy: 0.8635 - auc: 0.9968 - recall: 0.1956 - precision: 1.0000 - val_loss: 1.6204 - val_accuracy: 0.7927 - val_auc: 0.9852 - val_recall: 0.1741 - val_precision: 1.0000\n",
            "Epoch 472/500\n",
            "84/84 - 16s - loss: 1.4241 - accuracy: 0.8672 - auc: 0.9968 - recall: 0.1982 - precision: 1.0000 - val_loss: 1.6189 - val_accuracy: 0.7927 - val_auc: 0.9852 - val_recall: 0.1791 - val_precision: 1.0000\n",
            "Epoch 473/500\n",
            "84/84 - 16s - loss: 1.4209 - accuracy: 0.8650 - auc: 0.9968 - recall: 0.1974 - precision: 1.0000 - val_loss: 1.6171 - val_accuracy: 0.7927 - val_auc: 0.9854 - val_recall: 0.1791 - val_precision: 1.0000\n",
            "Epoch 474/500\n",
            "84/84 - 16s - loss: 1.4194 - accuracy: 0.8657 - auc: 0.9967 - recall: 0.2016 - precision: 1.0000 - val_loss: 1.6150 - val_accuracy: 0.7944 - val_auc: 0.9854 - val_recall: 0.1791 - val_precision: 1.0000\n",
            "Epoch 475/500\n",
            "84/84 - 16s - loss: 1.4173 - accuracy: 0.8642 - auc: 0.9968 - recall: 0.2031 - precision: 1.0000 - val_loss: 1.6132 - val_accuracy: 0.7960 - val_auc: 0.9854 - val_recall: 0.1791 - val_precision: 1.0000\n",
            "Epoch 476/500\n",
            "84/84 - 16s - loss: 1.4141 - accuracy: 0.8680 - auc: 0.9968 - recall: 0.2031 - precision: 1.0000 - val_loss: 1.6111 - val_accuracy: 0.7977 - val_auc: 0.9854 - val_recall: 0.1791 - val_precision: 1.0000\n",
            "Epoch 477/500\n",
            "84/84 - 16s - loss: 1.4124 - accuracy: 0.8665 - auc: 0.9967 - recall: 0.2042 - precision: 1.0000 - val_loss: 1.6098 - val_accuracy: 0.7944 - val_auc: 0.9853 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 478/500\n",
            "84/84 - 16s - loss: 1.4103 - accuracy: 0.8650 - auc: 0.9967 - recall: 0.2008 - precision: 1.0000 - val_loss: 1.6079 - val_accuracy: 0.7927 - val_auc: 0.9853 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 479/500\n",
            "84/84 - 16s - loss: 1.4085 - accuracy: 0.8672 - auc: 0.9969 - recall: 0.2061 - precision: 1.0000 - val_loss: 1.6058 - val_accuracy: 0.7944 - val_auc: 0.9854 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 480/500\n",
            "84/84 - 16s - loss: 1.4063 - accuracy: 0.8650 - auc: 0.9967 - recall: 0.2083 - precision: 1.0000 - val_loss: 1.6036 - val_accuracy: 0.7977 - val_auc: 0.9853 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 481/500\n",
            "84/84 - 16s - loss: 1.4036 - accuracy: 0.8710 - auc: 0.9967 - recall: 0.2076 - precision: 1.0000 - val_loss: 1.6022 - val_accuracy: 0.7960 - val_auc: 0.9853 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 482/500\n",
            "84/84 - 16s - loss: 1.4009 - accuracy: 0.8627 - auc: 0.9967 - recall: 0.2102 - precision: 1.0000 - val_loss: 1.6003 - val_accuracy: 0.7977 - val_auc: 0.9850 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 483/500\n",
            "84/84 - 16s - loss: 1.3989 - accuracy: 0.8672 - auc: 0.9969 - recall: 0.2083 - precision: 1.0000 - val_loss: 1.5980 - val_accuracy: 0.7960 - val_auc: 0.9853 - val_recall: 0.1824 - val_precision: 1.0000\n",
            "Epoch 484/500\n",
            "84/84 - 16s - loss: 1.3988 - accuracy: 0.8669 - auc: 0.9967 - recall: 0.2102 - precision: 1.0000 - val_loss: 1.5958 - val_accuracy: 0.7977 - val_auc: 0.9862 - val_recall: 0.1841 - val_precision: 1.0000\n",
            "Epoch 485/500\n",
            "84/84 - 16s - loss: 1.3938 - accuracy: 0.8669 - auc: 0.9969 - recall: 0.2114 - precision: 1.0000 - val_loss: 1.5939 - val_accuracy: 0.8010 - val_auc: 0.9860 - val_recall: 0.1874 - val_precision: 1.0000\n",
            "Epoch 486/500\n",
            "84/84 - 16s - loss: 1.3934 - accuracy: 0.8714 - auc: 0.9966 - recall: 0.2117 - precision: 1.0000 - val_loss: 1.5919 - val_accuracy: 0.8010 - val_auc: 0.9860 - val_recall: 0.1874 - val_precision: 1.0000\n",
            "Epoch 487/500\n",
            "84/84 - 16s - loss: 1.3897 - accuracy: 0.8699 - auc: 0.9969 - recall: 0.2136 - precision: 1.0000 - val_loss: 1.5899 - val_accuracy: 0.7993 - val_auc: 0.9863 - val_recall: 0.1891 - val_precision: 1.0000\n",
            "Epoch 488/500\n",
            "84/84 - 16s - loss: 1.3909 - accuracy: 0.8703 - auc: 0.9967 - recall: 0.2193 - precision: 1.0000 - val_loss: 1.5874 - val_accuracy: 0.8010 - val_auc: 0.9851 - val_recall: 0.1874 - val_precision: 1.0000\n",
            "Epoch 489/500\n",
            "84/84 - 16s - loss: 1.3857 - accuracy: 0.8676 - auc: 0.9969 - recall: 0.2144 - precision: 1.0000 - val_loss: 1.5857 - val_accuracy: 0.8010 - val_auc: 0.9860 - val_recall: 0.1907 - val_precision: 1.0000\n",
            "Epoch 490/500\n",
            "84/84 - 16s - loss: 1.3848 - accuracy: 0.8733 - auc: 0.9969 - recall: 0.2151 - precision: 1.0000 - val_loss: 1.5845 - val_accuracy: 0.8010 - val_auc: 0.9860 - val_recall: 0.1891 - val_precision: 1.0000\n",
            "Epoch 491/500\n",
            "84/84 - 16s - loss: 1.3818 - accuracy: 0.8672 - auc: 0.9967 - recall: 0.2185 - precision: 1.0000 - val_loss: 1.5823 - val_accuracy: 0.8010 - val_auc: 0.9864 - val_recall: 0.1907 - val_precision: 1.0000\n",
            "Epoch 492/500\n",
            "84/84 - 16s - loss: 1.3788 - accuracy: 0.8695 - auc: 0.9970 - recall: 0.2181 - precision: 1.0000 - val_loss: 1.5803 - val_accuracy: 0.8010 - val_auc: 0.9861 - val_recall: 0.1891 - val_precision: 1.0000\n",
            "Epoch 493/500\n",
            "84/84 - 16s - loss: 1.3761 - accuracy: 0.8721 - auc: 0.9969 - recall: 0.2211 - precision: 1.0000 - val_loss: 1.5781 - val_accuracy: 0.8027 - val_auc: 0.9862 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 494/500\n",
            "84/84 - 16s - loss: 1.3769 - accuracy: 0.8714 - auc: 0.9969 - recall: 0.2193 - precision: 1.0000 - val_loss: 1.5761 - val_accuracy: 0.8027 - val_auc: 0.9862 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 495/500\n",
            "84/84 - 16s - loss: 1.3727 - accuracy: 0.8718 - auc: 0.9969 - recall: 0.2223 - precision: 1.0000 - val_loss: 1.5738 - val_accuracy: 0.8027 - val_auc: 0.9861 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 496/500\n",
            "84/84 - 16s - loss: 1.3723 - accuracy: 0.8755 - auc: 0.9967 - recall: 0.2215 - precision: 1.0000 - val_loss: 1.5723 - val_accuracy: 0.8027 - val_auc: 0.9862 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 497/500\n",
            "84/84 - 16s - loss: 1.3695 - accuracy: 0.8729 - auc: 0.9970 - recall: 0.2230 - precision: 1.0000 - val_loss: 1.5707 - val_accuracy: 0.8027 - val_auc: 0.9862 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 498/500\n",
            "84/84 - 16s - loss: 1.3673 - accuracy: 0.8736 - auc: 0.9968 - recall: 0.2234 - precision: 1.0000 - val_loss: 1.5688 - val_accuracy: 0.8027 - val_auc: 0.9863 - val_recall: 0.1957 - val_precision: 1.0000\n",
            "Epoch 499/500\n",
            "84/84 - 16s - loss: 1.3656 - accuracy: 0.8733 - auc: 0.9968 - recall: 0.2215 - precision: 1.0000 - val_loss: 1.5668 - val_accuracy: 0.8027 - val_auc: 0.9864 - val_recall: 0.1990 - val_precision: 1.0000\n",
            "Epoch 500/500\n",
            "84/84 - 16s - loss: 1.3632 - accuracy: 0.8759 - auc: 0.9969 - recall: 0.2245 - precision: 1.0000 - val_loss: 1.5651 - val_accuracy: 0.8027 - val_auc: 0.9863 - val_recall: 0.1990 - val_precision: 1.0000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4F1yNvnnqpjc"
      },
      "source": [
        "### Lets visualize the output of the training phase"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XYaRMnfWC-d2"
      },
      "source": [
        "## 413 from 426"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uWpYratUmo8T",
        "outputId": "b6a44a2c-8ecf-45b4-e15f-60e117702659"
      },
      "source": [
        "auc=history.history['auc']\n",
        "val_auc=history.history['val_auc']\n",
        "\n",
        "acc=history.history['accuracy']\n",
        "val_acc=history.history['val_accuracy']\n",
        "loss=history.history['loss']\n",
        "val_loss=history.history['val_loss']\n",
        "\n",
        "recall=history.history['recall']\n",
        "val_recall=history.history['val_recall']\n",
        "\n",
        "precision=history.history['precision']\n",
        "val_precision=history.history['val_precision']\n",
        "\n",
        "epochs=range(len(acc))\n",
        "\n",
        "plt.plot(epochs,loss,'bo',label=\"Training Loss\")\n",
        "plt.plot(epochs,val_loss,'r',label=\"Validation Loss\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "\n",
        "plt.plot(epochs,auc,'bo',label=\"Training AUC\")\n",
        "plt.plot(epochs,val_auc,'r',label=\"Validation AUC\")\n",
        "plt.legend()\n",
        "plt.figure()\n",
        "\n",
        "plt.plot(epochs,acc,'bo',label=\"Training Accuracy\")\n",
        "plt.plot(epochs,val_acc,'r',label=\"Validation Accuracy\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "plt.plot(epochs,recall,'bo',label=\"Training Recall\")\n",
        "plt.plot(epochs,val_recall,'r',label=\"Validation Recall\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "plt.plot(epochs,precision,'bo',label=\"Training Precision\")\n",
        "plt.plot(epochs,val_precision,'r',label=\"Validation Precision\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAbpklEQVR4nO3de3hV1Z3/8feXcBUYRMApEjTYAbknkBAQxAbrBS8Fr60pOiJVlOKojAW1IKA+PE9n9Ddj6Q90grdnLAPeWoZqWn6ieKn+qAkYbkHGSFONOIgZrlKE6Jo/zs7ZJxfIIZzksE4+r+c5D2evvc4+a4XDh5W19tnbnHOIiIj/WiW7ASIikhgKdBGRFKFAFxFJEQp0EZEUoUAXEUkRrZP1xt27d3cZGRnJensRES+tW7fuS+dcj/r2JS3QMzIyKC4uTtbbi4h4ycz+crR9mnIREUkRCnQRkRShQBcRSREKdBGRFKFAFxFJEQ0Gupk9bWZfmNnmo+w3M1toZmVmttHMhie+mdIUfvpTaNUKzPTQQ4/mfnTvDkuXJvbfdDwj9GeB8cfYfynQN3hMBR4/8WZJU/vpT+Hxx0EX2xRJjspKmDIlsaHe4Hnozrm3zSzjGFUmAv/uItfhXWtmp5pZT+fc5wlqozSBgoK6ZW04zF38ks7sb/4GibQgv+MHFDOCw4dh9myYNCkxx03EF4t6AZ/GbFcEZXUC3cymEhnFc+aZZybgraWxvvmmblkOxTzCLAC+xZq5RSItxw7OoJgRAHzySeKO26zfFHXOFQAFADk5OfplP4nS0uqGemuqALiA11nDBUlolUjLk8ixbSLOcvkM6B2znR6UyUls6tS6ZYb+jxVpTm3bwoIFiTteIgJ9JfD3wdkuo4C9mj8/+S1eDNOmRVbba3OabhFpct26wdNPJ27+HOKYcjGzZUAe0N3MKoB5QBsA59wTQCFwGVAGHARuTlzzpCktXhx5RL3pYBysWWORv3ER8Uo8Z7nkN7DfAdMT1iJJnupzGOsbtovISU/fFJWQTkoX8ZoCXUIaoYt4TYEudSnQRbykQJeQRugiXlOgS0iBLuI1BbqEtCgq4jUFuoQ0QhfxmgJd6lKgi3hJgS4hjdBFvKZAl5ACXcRrCnQJaVFUxGsKdAlphC7iNQW61KVAF/GSAl1CGqGLeE2BLiHNoYt4TYEuIY3QRbymQJeQAl3Eawp0qUuBLuIlBbqENEIX8ZoCXUJaFBXxmgJdQhqhi3hNgS51KdBFvKRAl5BG6CJeU6BLSIEu4jUFuoS0KCriNQW6hDRCF/GaAl3qUqCLeEmBLiGN0EW8pkCXkObQRbymQJeQRugiXlOgS0iBLuK1uALdzMab2TYzKzOz++rZf6aZrTGzD8xso5ldlvimSrNRoIt4qcFAN7M0YBFwKTAQyDezgbWqzQFecM4NA64HFie6odIMNEIX8Vo8I/RcoMw5t905dxhYDkysVccBfxM87wLsSFwTpdloUVTEa/EEei/g05jtiqAs1nzgBjOrAAqBf6jvQGY21cyKzax4165djWiuNCmN0EW8lqhF0XzgWedcOnAZ8JyZ1Tm2c67AOZfjnMvp0aNHgt5aEkaBLuK1eAL9M6B3zHZ6UBbrJ8ALAM65/w+0B7onooGSBAp0ES/FE+hFQF8z62NmbYkseq6sVecT4PsAZjaASKBrTsU3GqGLeK3BQHfOVQF3AKuArUTOZtliZg+Z2YSg2j3ArWa2AVgGTHZOK2ze0V+ZiNdax1PJOVdIZLEztmxuzPNSYEximybNTiN0Ea/pm6ISUqCLeE2BLnUp0EW8pECXkObQRbymQJeQplxEvKZAl5ACXcRrCnQJKdBFvKZAl7oU6CJeUqBLSIuiIl5ToEtIUy4iXlOgS0iBLuI1BbrUpUAX8ZICXUIaoYt4TYEuIS2KinhNgS4hjdBFvKZAl5ACXcRrCnSpS4Eu4iUFuoQ0QhfxmgJdQloUFfGaAl1CGqGLeE2BLiEFuojXFOhSlwJdxEsKdAlpDl3Eawp0CWnKRcRrCnQJKdBFvKZAl5ACXcRrCnSpS4Eu4iUFuoS0KCriNQW6hDTlIuI1BbqEFOgiXlOgS0iBLuK1uALdzMab2TYzKzOz+45S54dmVmpmW8zsPxLbTGlWCnQRL7VuqIKZpQGLgIuACqDIzFY650pj6vQF7gfGOOd2m9npTdVgaUJaFBXxWjwj9FygzDm33Tl3GFgOTKxV51ZgkXNuN4Bz7ovENlOahaZcRLwWT6D3Aj6N2a4IymL1A/qZ2btmttbMxtd3IDObambFZla8a9euxrVYmo4CXcRriVoUbQ30BfKAfGCJmZ1au5JzrsA5l+Ocy+nRo0eC3loSToEu4qV4Av0zoHfMdnpQFqsCWOmcO+Kc+zPwX0QCXnyiOXQRr8UT6EVAXzPrY2ZtgeuBlbXqrCAyOsfMuhOZgtmewHZKc9CUi4jXGgx051wVcAewCtgKvOCc22JmD5nZhKDaKqDSzEqBNcBM51xlUzVamogCXcRrDZ62COCcKwQKa5XNjXnugH8MHuIrBbqI1/RNUalLgS7iJQW6hLQoKuI1BbqEFOgiXlOgS8g5TbeIeEyBLiEFuojXFOhSkwJdxFsKdAlpDl3Eawp0CWnKRcRrCnQJKdBFvKZAl5ACXcRrCnQRkRShQJeQRugiXlOgS0iBLuI1BbqEFOgiXlOgS0iBLuI1BbqISIpQoEtII3QRrynQJaRAF/GaAl1CCnQRrynQpSYFuoi3FOgS0tUWRbymQJeQplxEvKZAl5ACXcRrCnQJKdBFvKZAl5oU6CLeUqBLSIuiIl5ToEtIUy4iXlOgS0iBLuI1BbqEFOgiXlOgi4ikCAW6hDRCF/FaXIFuZuPNbJuZlZnZfceod42ZOTPLSVwTpdko0EW81mCgm1kasAi4FBgI5JvZwHrqdQbuAv6U6EZKM1Ggi3gtnhF6LlDmnNvunDsMLAcm1lPvYeCfgEMJbJ80JwW6iNfiCfRewKcx2xVBWZSZDQd6O+dePdaBzGyqmRWbWfGuXbuOu7EiInJ0J7woamatgH8B7mmornOuwDmX45zL6dGjx4m+tSSaRugiXosn0D8Desdspwdl1ToDg4E3zawcGAWs1MKohxToIl6LJ9CLgL5m1sfM2gLXAyurdzrn9jrnujvnMpxzGcBaYIJzrrhJWixNR4Eu4rUGA905VwXcAawCtgIvOOe2mNlDZjahqRsozUiBLuK11vFUcs4VAoW1yuYepW7eiTdLRESOl74pKiGN0EW8pkCXkAJdxGsKdAkp0EW8pkAXEUkRCnQJaYQu4jUFuoQU6CJeU6BLSIEu4jUFuoQU6CJeU6CLiKQIBbqENEIX8ZoCXUIKdBGvKdAlpEAX8ZoCXUIKdBGvKdBFRFKEAl1CGqGLeE2BLiEFuojXFOgSUqCLeE2BLiHnkt0CETkBCnSpSSN0EW8p0CWkKRcRrynQJaRAF/GaAl1CCnQRrynQJaRFURGvKdClJo3QRbylQJeQplxEvKZAl5ACXcRrCnQJKdBFvKZAl5AWRUW8pkCXmjRCF/GWAl1CmnIR8VpcgW5m481sm5mVmdl99ez/RzMrNbONZva6mZ2V+KZKk1Ogi3itwUA3szRgEXApMBDIN7OBtap9AOQ454YCLwH/nOiGSjNQoIt4LZ4Rei5Q5pzb7pw7DCwHJsZWcM6tcc4dDDbXAumJbaaIiDQknkDvBXwas10RlB3NT4Df17fDzKaaWbGZFe/atSv+Vkrz0AhdxGsJXRQ1sxuAHOCR+vY75wqccznOuZwePXok8q0lERToIl5rHUedz4DeMdvpQVkNZnYhMBv4nnPu68Q0T5qVAl3Ea/GM0IuAvmbWx8zaAtcDK2MrmNkw4N+ACc65LxLfTGkW+mKRiNcaDHTnXBVwB7AK2Aq84JzbYmYPmdmEoNojQCfgRTMrMbOVRzmcnOw0QhfxVjxTLjjnCoHCWmVzY55fmOB2STJoykXEa/qmqIQU6CJeU6BLSIEu4jUFuoS0KCriNQW61KQRuoi3FOgS0pSLiNcU6BJSoIt4La7TFqWFUKAnzZEjR6ioqODQoUPJboqcJNq3b096ejpt2rSJ+zUKdAlpUTRpKioq6Ny5MxkZGZj+U23xnHNUVlZSUVFBnz594n6dplykJoVJUhw6dIhu3bopzAUAM6Nbt27H/RubAl1CmnJJKoW5xGrM50GBLiEFuojXFOgS0hy6N5YuhYwMaNUq8ufSpSd2vMrKSrKyssjKyuI73/kOvXr1im4fPnz4mK8tLi7mzjvvbPA9Ro8efWKNDLz55pt06dKFrKwsBgwYwIMPPpiQ41522WXs2bPnqPtvueUWSktLE/JeTUWLohLSCN0LS5fC1KlwMLjp41/+EtkGmDSpccfs1q0bJSUlAMyfP59OnTrxs5/9LLq/qqqK1q3rj4ucnBxycnIafI/33nuvcY2rx9ixY3nllVf46quvyMrK4gc/+AHDhw+Pq71HU1hYeMz9Tz75ZKPa2pw0QpeaFOgnvdmzwzCvdvBgpDyRJk+ezO23387IkSOZNWsW77//Pueeey7Dhg1j9OjRbNu2DYiMmK+44gog8p/BlClTyMvL4+yzz2bhwoXR43Xq1ClaPy8vj2uvvZb+/fszadIkXPDbYWFhIf379yc7O5s777wzetyj6dixI9nZ2ZSVlTF//nxuvPFGxowZw4033siuXbu45pprGDFiBCNGjODdd98F4MCBA9x8880MGTKEoUOH8vLLLwOQkZHBl19+yVdffcXll19OZmYmgwcP5vnnnwcgLy+P4uJiAJYtW8aQIUMYPHgw9957b40+zp49m8zMTEaNGsXOnTtP+O/heGiELiGN0L3wySfHV34iKioqeO+990hLS2Pfvn288847tG7dmtWrV/Pzn/88GoaxPvzwQ9asWcP+/fs555xzmDZtWp1zqT/44AO2bNnCGWecwZgxY3j33XfJycnhtttu4+2336ZPnz7k5+c32L7KykrWrl3LAw88QGlpKaWlpfzxj3+kQ4cO/PjHP2bGjBmcd955fPLJJ1xyySVs3bqVhx9+mC5durBp0yYAdu/eXeOYf/jDHzjjjDN49dVXAdi7d2+N/Tt27ODee+9l3bp1dO3alYsvvpgVK1Zw5ZVX8tVXXzFq1CgWLFjArFmzWLJkCXPmzDmun/mJUKBLSIHuhTPPjEyz1FeeaNdddx1paWlAJNhuuukmPvroI8yMI0eO1Puayy+/nHbt2tGuXTtOP/10du7cSXp6eo06ubm50bKsrCzKy8vp1KkTZ599dvS86/z8fAoKCup9j3feeYdhw4bRqlUr7rvvPgYNGsSLL77IhAkT6NChAwCrV6+uMee9b98+Dhw4wOrVq1m+fHm0vGvXrjWOPWTIEO655x7uvfderrjiCsaOHVtjf1FREXl5eVTfF3nSpEm8/fbbXHnllbRt2zb6W0V2djavvfbaMX66iadAl5AWRb2wYEHNOXSAU06JlCdax44do88feOABxo0bx29/+1vKy8vJy8ur9zXt2rWLPk9LS6OqqqpRdY6leg79WO399ttvWbt2Le3btz+uY/fr14/169dTWFjInDlz+P73v8/cuXMbfiHQpk2b6OmGjenXidIcutSkEfpJb9IkKCiAs86K/HWddVZku7ELovHau3cvvXr1AuDZZ59N+PHPOecctm/fTnl5OUB07rqxLr74Yn71q19Ft6sXfS+66CIWLVoULa895bJjxw5OOeUUbrjhBmbOnMn69etr7M/NzeWtt97iyy+/5JtvvmHZsmV873vfO6G2JooCXUKacvHGpElQXg7ffhv5s6nDHGDWrFncf//9DBs2rElGnh06dGDx4sWMHz+e7OxsOnfuTJcuXRp9vIULF1JcXMzQoUMZOHAgTzzxBABz5sxh9+7dDB48mMzMTNasWVPjdZs2bSI3N5esrCwefPDBOnPgPXv25Be/+AXjxo0jMzOT7OxsJk6c2Oh2JpK5JP2anZOT46pXjOUkMXw49OoFv/tdslvS4mzdupUBAwYkuxlJd+DAATp16oRzjunTp9O3b19mzJiR7GYlTX2fCzNb55yr9zxRjdAlpBG6JNmSJUvIyspi0KBB7N27l9tuuy3ZTfKKFkUlpEVRSbIZM2a06BH5idIIXWrSCF3EWwp0CWnKRcRrCnQJKdBFvKZAl5Dm0EW8pkCXkEboLda4ceNYtWpVjbLHHnuMadOmHfU1sRerOtqlZ+fPn8+jjz56zPdesWJFja/oz507l9WrVx9P8+vVEi+zq0CXmhToLVJ+fn6N65sALF++PK4LZEHkKomnnnpqo967dqA/9NBDXHjhhY06Vm1jx46lpKSE4uJifv3rX9f51mdjviDVUF+ffPJJBg4ceNzHTQQFuoQ0Qj853H035OUl9nH33cd8y2uvvZZXX301ejOL8vJyduzYwdixY5k2bRo5OTkMGjSIefPm1fv66kvPAixYsIB+/fpx3nnnRS+xC5FzzEeMGEFmZibXXHMNBw8e5L333mPlypXMnDmTrKwsPv74YyZPnsxLL70EwOuvv86wYcMYMmQIU6ZM4euvv46+37x58xg+fDhDhgzhww8/PGb/WspldhXoElKgt1innXYaubm5/P73vwcio/Mf/vCHmBkLFiyguLiYjRs38tZbb7Fx48ajHmfdunUsX76ckpISCgsLKSoqiu67+uqrKSoqYsOGDQwYMICnnnqK0aNHM2HCBB555BFKSkr47ne/G61/6NAhJk+ezPPPP8+mTZuoqqri8ccfj+7v3r0769evZ9q0aQ1O61RfZnfQoEEAlJaWsnr1apYtW8Zdd93FjBkzKCoq4uWXX+aWW24BqHGZ3Y0bN3LBBRfUOGb1ZXY3bNjA5s2bGT9+fI391ZfZfeONNygpKaGoqIgVK1YARC+zu2HDBs4//3yWLFlyzPbHS18skpAWRU8Ojz2WlLetnnaZOHEiy5cv56mnngLghRdeoKCggKqqKj7//HNKS0sZOnRovcd45513uOqqqzjllFMAmDBhQnTf5s2bmTNnDnv27OHAgQNccsklx2zPtm3b6NOnD/369QPgpptuYtGiRdwd/LZx9dVXA5HL1P7mN785anta0mV24wp0MxsP/BJIA550zv2i1v52wL8D2UAl8CPnXHlCWhhj6VK46y6orEz0kVu2Vq3gtttgsUboLdrEiROZMWMG69ev5+DBg2RnZ/PnP/+ZRx99lKKiIrp27crkyZM5dOhQo44/efJkVqxYQWZmJs8++yxvvvnmCbW3+hK8x7pMbUu7zG6DUy5mlgYsAi4FBgL5ZlZ7xv8nwG7n3N8B/wr8U0JaF2PpUrj5ZoV5U/j2W3j8cfjvnSjQW7BOnToxbtw4pkyZEl0M3bdvHx07dqRLly7s3LkzOiVzNOeffz4rVqzgr3/9K/v37+d3MRd6279/Pz179uTIkSMsjbmrdefOndm/f3+dY51zzjmUl5dTVlYGwHPPPdckl6lNpcvsxjNCzwXKnHPbAcxsOTARiD0vZyIwP3j+EvB/zcxcAi/lOHs2HDkCN/M09/B/EnVYiXHanu1gWcluhiRRfn4+V111VXSqITMzk2HDhtG/f3969+7NmDFjjvn64cOH86Mf/YjMzExOP/10RowYEd338MMPM3LkSHr06MHIkSOjIX799ddz6623snDhwuhiKED79u155plnuO6666iqqmLEiBHcfvvtCe/zwoULmT59OkOHDqWqqorzzz+fJ554gjlz5jB9+nQGDx5MWloa8+bNi07zQOQyuzNnzqRVq1a0adOmxvw+1LzMrnOOyy+/vMkvs9vg5XPN7FpgvHPulmD7RmCkc+6OmDqbgzoVwfbHQZ0vax1rKjAV4Mwzz8z+S3330TqKVq0iU7wT+E9u4Ndxv06Oz3V/uAUamNuUxNPlc6U+x3v53GZdFHXOFQAFELke+vG8tvo+iiuZyEpOjovJp5q0NLhOWS7irXhOW/wM6B2znR6U1VvHzFoDXYgsjibMggVQ68bhkmBTpya7BSJyIuIJ9CKgr5n1MbO2wPXAylp1VgI3Bc+vBd5I5Pw5RG6x9cwz0K1bIo8qEJnOmjYNFi9OdktatmTdPUxOTo35PDQ45eKcqzKzO4BVRE5bfNo5t8XMHgKKnXMrgaeA58ysDPgfIqGfcJMmNc+9E0WaW/v27amsrKRbt27R09mk5XLOUVlZedynUuqeoiIngSNHjlBRUdHoc7wl9bRv35709HTa1JprPmkWRUWkfm3atKFPnz7JboZ4TtdyERFJEQp0EZEUoUAXEUkRSVsUNbNdQPxfFa2pO/Blg7VSi/rcMqjPLcOJ9Pks51yP+nYkLdBPhJkVH22VN1Wpzy2D+twyNFWfNeUiIpIiFOgiIinC10AvSHYDkkB9bhnU55ahSfrs5Ry6iIjU5esIXUREalGgi4ikCO8C3czGm9k2Myszs/uS3Z5EMbOnzeyL4O5P1WWnmdlrZvZR8GfXoNzMbGHwM9hoZsOT1/LGM7PeZrbGzErNbIuZ3RWUp2y/zay9mb1vZhuCPj8YlPcxsz8FfXs+uFQ1ZtYu2C4L9mcks/2NZWZpZvaBmb0SbKd0fwHMrNzMNplZiZkVB2VN+tn2KtDjvGG1r54Fxtcquw943TnXF3g92IZI//sGj6nA4/ipCrjHOTcQGAVMD/4+U7nfXwMXOOcygSxgvJmNInJj9X8NbrS+m8iN16EZbsDeTO4CtsZsp3p/q41zzmXFnHPetJ9t55w3D+BcYFXM9v3A/cluVwL7lwFsjtneBvQMnvcEtgXP/w3Ir6+ezw/gP4GLWkq/gVOA9cBIIt8abB2URz/nRO5DcG7wvHVQz5Ld9uPsZ3oQXhcArwCWyv2N6Xc50L1WWZN+tr0aoQO9gE9jtiuCslT1t865z4Pn/w38bfA85X4Owa/Ww4A/keL9DqYfSoAvgNeAj4E9zrmqoEpsv6J9DvbvBXy7b9djwCzg22C7G6nd32oO+H9mts7Mqm/w2KSfbV0P3RPOOWdmKXmOqZl1Al4G7nbO7Yu9Y08q9ts59w2QZWanAr8F+ie5SU3GzK4AvnDOrTOzvGS3p5md55z7zMxOB14zsw9jdzbFZ9u3EXo8N6xOJTvNrCdA8OcXQXnK/BzMrA2RMF/qnPtNUJzy/QZwzu0B1hCZcjg1uME61OxXk9+AvYmNASaYWTmwnMi0yy9J3f5GOec+C/78gsh/3Lk08Wfbt0CP54bVqST25ts3EZljri7/+2BlfBSwN+bXOG9YZCj+FLDVOfcvMbtStt9m1iMYmWNmHYisGWwlEuzXBtVq97lJb8DelJxz9zvn0p1zGUT+vb7hnJtEiva3mpl1NLPO1c+Bi4HNNPVnO9kLB41YaLgM+C8i846zk92eBPZrGfA5cITI/NlPiMwdvg58BKwGTgvqGpGzfT4GNgE5yW5/I/t8HpF5xo1ASfC4LJX7DQwFPgj6vBmYG5SfDbwPlAEvAu2C8vbBdlmw/+xk9+EE+p4HvNIS+hv0b0Pw2FKdVU392dZX/0VEUoRvUy4iInIUCnQRkRShQBcRSREKdBGRFKFAFxFJEQp0EZEUoUAXEUkR/wsITrnmaowPEAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80bffwUd1P36"
      },
      "source": [
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.metrics import plot_confusion_matrix"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dnSdnAbc2i8A"
      },
      "source": [
        "filenames = validation_generator.filenames\n",
        "nb_samples = len(filenames)"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "deP7NsH13khH",
        "outputId": "ca8538d9-1923-4a71-de3d-7ba0a387380c"
      },
      "source": [
        "predict = model.predict_generator(validation_generator,steps = nb_samples)\n",
        "y_pred = np.argmax(predict, axis=1)"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:2001: UserWarning: `Model.predict_generator` is deprecated and will be removed in a future version. Please use `Model.predict`, which supports generators.\n",
            "  warnings.warn('`Model.predict_generator` is deprecated and '\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bP5ERVgy3xNC",
        "outputId": "5228ffdd-a91a-40b9-8041-e65a831c6489"
      },
      "source": [
        "print('Confusion Matrix')\n",
        "print(confusion_matrix(validation_generator.classes, y_pred))"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Confusion Matrix\n",
            "[[10  0  0 ...  0  0  0]\n",
            " [ 0  4  0 ...  0  0  0]\n",
            " [ 0  0  9 ...  0  0  0]\n",
            " ...\n",
            " [ 0  0  0 ... 20  0  0]\n",
            " [ 0  0  0 ...  0  4  0]\n",
            " [ 0  0  0 ...  0  0  5]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gzf0xvqV4Wa-",
        "outputId": "685950ba-50f1-48b5-c42a-ec609f2d6d74"
      },
      "source": [
        "target_names=list(training_generator.class_indices.keys())\n",
        "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "     Abenaki       1.00      1.00      1.00        10\n",
            "        Alex       1.00      1.00      1.00         4\n",
            "       Aloyo       1.00      0.75      0.86        12\n",
            "       Apass       1.00      0.14      0.25         7\n",
            "  Babygloria       0.80      0.89      0.84         9\n",
            "      Barbie       1.00      0.67      0.80         3\n",
            "       Becky       1.00      0.90      0.95        10\n",
            "     Bettina       0.80      0.86      0.83        14\n",
            "       Brian       0.83      1.00      0.91         5\n",
            "      Canary       0.88      0.94      0.91        16\n",
            "       Cindy       0.93      0.88      0.90        16\n",
            "   Cleopatra       1.00      0.80      0.89        10\n",
            "      Daniel       1.00      1.00      1.00        17\n",
            "      Desire       0.91      1.00      0.95        21\n",
            "       Diana       0.38      1.00      0.55         9\n",
            "     Dorothy       0.00      0.00      0.00         3\n",
            "       Farid       0.68      1.00      0.81        17\n",
            "         GNL       1.00      0.29      0.44         7\n",
            "    Gaetanok       0.00      0.00      0.00         4\n",
            "       Gamzi       0.00      0.00      0.00         6\n",
            "     Jazmine       0.89      0.89      0.89         9\n",
            "  Judithiana       0.65      0.92      0.76        12\n",
            "      Julian       0.62      1.00      0.77        10\n",
            "   Kabareebe       0.78      0.78      0.78         9\n",
            "     Kabuura       1.00      0.67      0.80         6\n",
            "    Kansiime       0.71      0.71      0.71         7\n",
            "   Kanyomozi       0.65      0.92      0.76        12\n",
            "     Karungi       1.00      0.43      0.60         7\n",
            "     Katamba       1.00      0.90      0.95        10\n",
            "   Katatumba       0.83      1.00      0.90        19\n",
            "   KenMugabi       1.00      0.75      0.86         8\n",
            "       Lucky       0.88      0.94      0.91        16\n",
            "       Lydia       0.73      1.00      0.85        11\n",
            "       Lynda       0.78      1.00      0.88         7\n",
            "     Malaika       0.64      0.70      0.67        10\n",
            "      Marcus       0.80      1.00      0.89         8\n",
            "     Maritza       0.83      0.83      0.83        12\n",
            "      Martha       1.00      0.33      0.50         6\n",
            "     Maurice       1.00      0.67      0.80         6\n",
            "      Mbonye       0.76      1.00      0.87        13\n",
            "       Mcvex       1.00      1.00      1.00         7\n",
            "        Menk       0.50      0.80      0.62        10\n",
            "      Nabata       0.94      0.85      0.89        20\n",
            "     Nabwiso       0.91      0.53      0.67        19\n",
            "    Namubiru       0.50      1.00      0.67         9\n",
            "   Nduhukire       0.80      1.00      0.89         8\n",
            "       Ntale       1.00      0.75      0.86         8\n",
            "     Onyango       1.00      0.71      0.83         7\n",
            "        Owor       0.90      1.00      0.95         9\n",
            "        Pesh       1.00      0.36      0.53        11\n",
            "    Peterson       0.77      1.00      0.87        10\n",
            "     Raymond       0.00      0.00      0.00         4\n",
            "Remuneration       0.83      1.00      0.90        19\n",
            "       Renal       1.00      0.43      0.60         7\n",
            "        Ruth       0.00      0.00      0.00         6\n",
            "    Salvador       0.78      0.88      0.82         8\n",
            "      Samson       0.87      0.95      0.91        21\n",
            "      Sandra       1.00      0.44      0.62         9\n",
            "       Vanny       0.56      0.38      0.45        13\n",
            "\n",
            "    accuracy                           0.80       603\n",
            "   macro avg       0.78      0.74      0.73       603\n",
            "weighted avg       0.81      0.80      0.78       603\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ISoJ4iZXB4AZ",
        "outputId": "ed81ece0-4764-4253-f73a-2260c26d203b"
      },
      "source": [
        "!pip install scikit-plot"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting scikit-plot\n",
            "  Downloading https://files.pythonhosted.org/packages/7c/47/32520e259340c140a4ad27c1b97050dd3254fdc517b1d59974d47037510e/scikit_plot-0.3.7-py3-none-any.whl\n",
            "Requirement already satisfied: scikit-learn>=0.18 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (0.22.2.post1)\n",
            "Requirement already satisfied: scipy>=0.9 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.4.1)\n",
            "Requirement already satisfied: matplotlib>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (3.2.2)\n",
            "Requirement already satisfied: joblib>=0.10 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.0.1)\n",
            "Requirement already satisfied: numpy>=1.11.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.18->scikit-plot) (1.19.5)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (1.3.1)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.8.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib>=1.4.0->scikit-plot) (1.15.0)\n",
            "Installing collected packages: scikit-plot\n",
            "Successfully installed scikit-plot-0.3.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HlQtroeHB1KN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "fb84eb71-400b-4228-814c-ddbbc770f917"
      },
      "source": [
        "import scikitplot as skplt\n",
        "plt.figure(figsize=(20, 20))"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aar-7-2YCFG3",
        "outputId": "6add1ec2-dcd1-4beb-916b-0f453b3b286a"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(20, 20))\n",
        "skplt.metrics.plot_confusion_matrix(validation_generator.classes, y_pred, normalize=True,ax=ax)\n",
        "plt.figure(figsize=(20, 20))\n",
        "plt.show()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2k8RzXSFvYjT",
        "outputId": "a21565a8-4579-4bdb-a2b2-da8341c5275c"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_9\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "arc_face_7 (ArcFace)            (None, 128)          16384       Bottleneck[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "dense_27 (Dense)                (None, 15)           1935        arc_face_7[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,826,079\n",
            "Trainable params: 18,319\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vpB6CtjbveC7",
        "outputId": "3a50fbdd-cf2c-4238-e368-3f1d1b344076"
      },
      "source": [
        "model2=Model(model.input,model.layers[-3].output)\n",
        "model2.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_12\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
            "__________________________________________________________________________________________________\n",
            "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
            "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
            "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
            "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
            "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
            "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
            "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
            "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
            "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
            "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
            "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
            "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
            "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
            "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
            "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
            "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
            "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
            "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
            "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
            "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
            "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
            "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
            "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
            "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
            "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
            "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
            "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
            "__________________________________________________________________________________________________\n",
            "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
            "==================================================================================================\n",
            "Total params: 22,807,760\n",
            "Trainable params: 0\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ILR3Wqmb7bwV"
      },
      "source": [
        "import tensorflow.compat.v1 as tf\n",
        "tf.disable_v2_behavior()\n",
        "sess=tf.Session()\n",
        "from tensorflow.python.framework import graph_io\n",
        "frozen = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, [\"name_of_the_output_node\"])\n",
        "graph_io.write_graph(frozen, '/tmp/session-frozens', 'inference_graph.pb', as_text=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "id": "Wci41p_z2LSO",
        "outputId": "1dcb8f36-ea34-4e23-bce6-af6f8c04c912"
      },
      "source": [
        "import tensorflow.compat.v1 as tf\n",
        "tf.disable_v2_behavior()\n",
        "\n",
        "from keras import backend as K \n",
        "from keras.models import Sequential, Model\n",
        "\n",
        "\n",
        "sess=tf.Session()\n",
        "K.set_learning_phase(0)   # Set the learning phase to 0\n",
        "model = model2 \n",
        "config = model2.get_config()\n",
        "#weights = model2.get_weights()\n",
        "#model = Sequential.from_config(config)\n",
        "output_node = model2.output.name.split(':')[0]  # We need this in the next step\n",
        "graph_file = \"kerasFacenet.pb\" \n",
        "ckpt_file = \"kerasFacenet.ckpt\"\n",
        "saver = tf.train.Saver(sharded=True)\n",
        "tf.train.write_graph(sess.graph_def, '', graph_file)\n",
        "#saver.save(sess, ckpt_file) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.\n",
            "  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'kerasFacenet.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "kue-AGmHwiod",
        "outputId": "5beaef0a-adcf-4f50-9456-352c2bc2ed0e"
      },
      "source": [
        "from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2\n",
        "\n",
        "tf.saved_model.save(model2, \"/tmp/saved-models\")\n",
        "\n",
        "# Convert Keras model to ConcreteFunction\n",
        "full_model = tf.function(lambda x: model2(x))\n",
        "full_model = full_model.get_concrete_function(\n",
        "    tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype))\n",
        "\n",
        "# Get frozen ConcreteFunction\n",
        "frozen_func = convert_variables_to_constants_v2(full_model)\n",
        "frozen_func.graph.as_graph_def()\n",
        "\n",
        "layers = [op.name for op in frozen_func.graph.get_operations()]\n",
        "#print(\"-\" * 50)\n",
        "#print(\"Frozen model layers: \")\n",
        "for layer in layers:\n",
        "    print(layer)\n",
        "\n",
        "#print(\"-\" * 50)\n",
        "#print(\"Frozen model inputs: \")\n",
        "#print(frozen_func.inputs)\n",
        "#print(\"Frozen model outputs: \")\n",
        "#print(frozen_func.outputs)\n",
        "\n",
        "# Save frozen graph from frozen ConcreteFunction to hard drive\n",
        "tf.io.write_graph(graph_or_graph_def=frozen_func.graph,\n",
        "                  logdir=\"/tmp/saved-model\",\n",
        "                  name=\"facenet-Original-LastLayer.pb\",\n",
        "                  as_text=False)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "INFO:tensorflow:Assets written to: /tmp/saved-models/assets\n",
            "x\n",
            "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3/Conv2D\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3/Conv2D\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_2a_3x3_Activation/Relu\n",
            "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3/Conv2D\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_2b_3x3_Activation/Relu\n",
            "model_12/MaxPool_3a_3x3/MaxPool\n",
            "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1/Conv2D\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/scale\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_3b_1x1_Activation/Relu\n",
            "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3/Conv2D\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_4a_3x3_Activation/Relu\n",
            "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3/Conv2D\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/scale\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Conv2d_4b_3x3_Activation/Relu\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3/Conv2D\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/scale\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_1_Branch_2_Conv2d_0c_3x3_Activation/Relu\n",
            "model_12/Block35_1_Concatenate/concat/axis\n",
            "model_12/Block35_1_Concatenate/concat\n",
            "model_12/Block35_1_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_1_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_1_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_1_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block35_1_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block35_1_Conv2d_1x1/BiasAdd\n",
            "model_12/Block35_1_ScaleSum/mul/y\n",
            "model_12/Block35_1_ScaleSum/mul\n",
            "model_12/Block35_1_ScaleSum/add\n",
            "model_12/Block35_1_Activation/Relu\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3/Conv2D\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/scale\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_2_Branch_2_Conv2d_0c_3x3_Activation/Relu\n",
            "model_12/Block35_2_Concatenate/concat/axis\n",
            "model_12/Block35_2_Concatenate/concat\n",
            "model_12/Block35_2_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_2_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_2_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_2_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block35_2_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block35_2_Conv2d_1x1/BiasAdd\n",
            "model_12/Block35_2_ScaleSum/mul/y\n",
            "model_12/Block35_2_ScaleSum/mul\n",
            "model_12/Block35_2_ScaleSum/add\n",
            "model_12/Block35_2_Activation/Relu\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3/Conv2D\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/scale\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_3_Branch_2_Conv2d_0c_3x3_Activation/Relu\n",
            "model_12/Block35_3_Concatenate/concat/axis\n",
            "model_12/Block35_3_Concatenate/concat\n",
            "model_12/Block35_3_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_3_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_3_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_3_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block35_3_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block35_3_Conv2d_1x1/BiasAdd\n",
            "model_12/Block35_3_ScaleSum/mul/y\n",
            "model_12/Block35_3_ScaleSum/mul\n",
            "model_12/Block35_3_ScaleSum/add\n",
            "model_12/Block35_3_Activation/Relu\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3/Conv2D\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/scale\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_4_Branch_2_Conv2d_0c_3x3_Activation/Relu\n",
            "model_12/Block35_4_Concatenate/concat/axis\n",
            "model_12/Block35_4_Concatenate/concat\n",
            "model_12/Block35_4_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_4_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_4_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_4_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block35_4_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block35_4_Conv2d_1x1/BiasAdd\n",
            "model_12/Block35_4_ScaleSum/mul/y\n",
            "model_12/Block35_4_ScaleSum/mul\n",
            "model_12/Block35_4_ScaleSum/add\n",
            "model_12/Block35_4_Activation/Relu\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3/Conv2D\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/scale\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block35_5_Branch_2_Conv2d_0c_3x3_Activation/Relu\n",
            "model_12/Block35_5_Concatenate/concat/axis\n",
            "model_12/Block35_5_Concatenate/concat\n",
            "model_12/Block35_5_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block35_5_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block35_5_Conv2d_1x1/Conv2D\n",
            "model_12/Block35_5_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block35_5_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block35_5_Conv2d_1x1/BiasAdd\n",
            "model_12/Block35_5_ScaleSum/mul/y\n",
            "model_12/Block35_5_ScaleSum/mul\n",
            "model_12/Block35_5_ScaleSum/add\n",
            "model_12/Block35_5_Activation/Relu\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3/Conv2D\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_6a_Branch_0_Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3/Conv2D\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_6a_Branch_1_Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Mixed_6a_Branch_2_MaxPool_1a_3x3/MaxPool\n",
            "model_12/Mixed_6a/concat/axis\n",
            "model_12/Mixed_6a/concat\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_1_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_1_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_1_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_1_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_1_Concatenate/concat/axis\n",
            "model_12/Block17_1_Concatenate/concat\n",
            "model_12/Block17_1_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_1_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_1_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_1_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_1_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_1_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_1_ScaleSum/mul/y\n",
            "model_12/Block17_1_ScaleSum/mul\n",
            "model_12/Block17_1_ScaleSum/add\n",
            "model_12/Block17_1_Activation/Relu\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_2_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_2_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_2_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_2_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_2_Concatenate/concat/axis\n",
            "model_12/Block17_2_Concatenate/concat\n",
            "model_12/Block17_2_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_2_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_2_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_2_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_2_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_2_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_2_ScaleSum/mul/y\n",
            "model_12/Block17_2_ScaleSum/mul\n",
            "model_12/Block17_2_ScaleSum/add\n",
            "model_12/Block17_2_Activation/Relu\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_3_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_3_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_3_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_3_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_3_Concatenate/concat/axis\n",
            "model_12/Block17_3_Concatenate/concat\n",
            "model_12/Block17_3_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_3_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_3_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_3_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_3_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_3_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_3_ScaleSum/mul/y\n",
            "model_12/Block17_3_ScaleSum/mul\n",
            "model_12/Block17_3_ScaleSum/add\n",
            "model_12/Block17_3_Activation/Relu\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_4_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_4_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_4_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_4_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_4_Concatenate/concat/axis\n",
            "model_12/Block17_4_Concatenate/concat\n",
            "model_12/Block17_4_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_4_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_4_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_4_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_4_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_4_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_4_ScaleSum/mul/y\n",
            "model_12/Block17_4_ScaleSum/mul\n",
            "model_12/Block17_4_ScaleSum/add\n",
            "model_12/Block17_4_Activation/Relu\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_5_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_5_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_5_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_5_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_5_Concatenate/concat/axis\n",
            "model_12/Block17_5_Concatenate/concat\n",
            "model_12/Block17_5_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_5_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_5_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_5_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_5_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_5_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_5_ScaleSum/mul/y\n",
            "model_12/Block17_5_ScaleSum/mul\n",
            "model_12/Block17_5_ScaleSum/add\n",
            "model_12/Block17_5_Activation/Relu\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_6_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_6_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_6_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_6_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_6_Concatenate/concat/axis\n",
            "model_12/Block17_6_Concatenate/concat\n",
            "model_12/Block17_6_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_6_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_6_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_6_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_6_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_6_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_6_ScaleSum/mul/y\n",
            "model_12/Block17_6_ScaleSum/mul\n",
            "model_12/Block17_6_ScaleSum/add\n",
            "model_12/Block17_6_Activation/Relu\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_7_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_7_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_7_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_7_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_7_Concatenate/concat/axis\n",
            "model_12/Block17_7_Concatenate/concat\n",
            "model_12/Block17_7_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_7_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_7_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_7_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_7_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_7_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_7_ScaleSum/mul/y\n",
            "model_12/Block17_7_ScaleSum/mul\n",
            "model_12/Block17_7_ScaleSum/add\n",
            "model_12/Block17_7_Activation/Relu\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_8_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_8_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_8_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_8_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_8_Concatenate/concat/axis\n",
            "model_12/Block17_8_Concatenate/concat\n",
            "model_12/Block17_8_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_8_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_8_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_8_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_8_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_8_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_8_ScaleSum/mul/y\n",
            "model_12/Block17_8_ScaleSum/mul\n",
            "model_12/Block17_8_ScaleSum/add\n",
            "model_12/Block17_8_Activation/Relu\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_9_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_9_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_9_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_9_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_9_Concatenate/concat/axis\n",
            "model_12/Block17_9_Concatenate/concat\n",
            "model_12/Block17_9_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_9_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_9_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_9_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_9_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_9_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_9_ScaleSum/mul/y\n",
            "model_12/Block17_9_ScaleSum/mul\n",
            "model_12/Block17_9_ScaleSum/add\n",
            "model_12/Block17_9_Activation/Relu\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_10_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_10_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7/Conv2D/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7/Conv2D\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/scale\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_10_Branch_1_Conv2d_0b_1x7_Activation/Relu\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1/Conv2D\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/scale\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block17_10_Branch_1_Conv2d_0c_7x1_Activation/Relu\n",
            "model_12/Block17_10_Concatenate/concat/axis\n",
            "model_12/Block17_10_Concatenate/concat\n",
            "model_12/Block17_10_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block17_10_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block17_10_Conv2d_1x1/Conv2D\n",
            "model_12/Block17_10_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block17_10_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block17_10_Conv2d_1x1/BiasAdd\n",
            "model_12/Block17_10_ScaleSum/mul/y\n",
            "model_12/Block17_10_ScaleSum/mul\n",
            "model_12/Block17_10_ScaleSum/add\n",
            "model_12/Block17_10_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3/Conv2D\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_0_Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3/Conv2D\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_1_Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3/Conv2D\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_0b_3x3_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3/Conv2D\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/scale\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Mixed_7a_Branch_2_Conv2d_1a_3x3_Activation/Relu\n",
            "model_12/Mixed_7a_Branch_3_MaxPool_1a_3x3/MaxPool\n",
            "model_12/Mixed_7a/concat/axis\n",
            "model_12/Mixed_7a/concat\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_1_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_1_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_1_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_1_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_1_Concatenate/concat/axis\n",
            "model_12/Block8_1_Concatenate/concat\n",
            "model_12/Block8_1_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_1_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_1_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_1_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_1_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_1_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_1_ScaleSum/mul/y\n",
            "model_12/Block8_1_ScaleSum/mul\n",
            "model_12/Block8_1_ScaleSum/add\n",
            "model_12/Block8_1_Activation/Relu\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_2_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_2_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_2_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_2_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_2_Concatenate/concat/axis\n",
            "model_12/Block8_2_Concatenate/concat\n",
            "model_12/Block8_2_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_2_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_2_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_2_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_2_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_2_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_2_ScaleSum/mul/y\n",
            "model_12/Block8_2_ScaleSum/mul\n",
            "model_12/Block8_2_ScaleSum/add\n",
            "model_12/Block8_2_Activation/Relu\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_3_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_3_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_3_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_3_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_3_Concatenate/concat/axis\n",
            "model_12/Block8_3_Concatenate/concat\n",
            "model_12/Block8_3_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_3_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_3_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_3_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_3_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_3_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_3_ScaleSum/mul/y\n",
            "model_12/Block8_3_ScaleSum/mul\n",
            "model_12/Block8_3_ScaleSum/add\n",
            "model_12/Block8_3_Activation/Relu\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_4_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_4_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_4_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_4_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_4_Concatenate/concat/axis\n",
            "model_12/Block8_4_Concatenate/concat\n",
            "model_12/Block8_4_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_4_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_4_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_4_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_4_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_4_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_4_ScaleSum/mul/y\n",
            "model_12/Block8_4_ScaleSum/mul\n",
            "model_12/Block8_4_ScaleSum/add\n",
            "model_12/Block8_4_Activation/Relu\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_5_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_5_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_5_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_5_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_5_Concatenate/concat/axis\n",
            "model_12/Block8_5_Concatenate/concat\n",
            "model_12/Block8_5_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_5_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_5_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_5_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_5_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_5_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_5_ScaleSum/mul/y\n",
            "model_12/Block8_5_ScaleSum/mul\n",
            "model_12/Block8_5_ScaleSum/add\n",
            "model_12/Block8_5_Activation/Relu\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_0_Conv2d_1x1_Activation/Relu\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1/Conv2D\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3/Conv2D\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0b_1x3_Activation/Relu\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_6_Concatenate/concat/axis\n",
            "model_12/Block8_6_Concatenate/concat\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_6_ScaleSum/mul/y\n",
            "model_12/Block8_6_ScaleSum/mul\n",
            "model_12/Block8_6_ScaleSum/add\n",
            "model_12/AvgPool/Mean/reduction_indices\n",
            "model_12/AvgPool/Mean\n",
            "model_12/Dropout/Identity\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp/resource\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp\n",
            "model_12/Bottleneck/MatMul\n",
            "Identity\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/tmp/saved-model/facenet-Original-LastLayer.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0NvKeRsc8Xgd"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}