NMT.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Neural Machine Translation\n",
    "\n",
    "\n",
    "Build a NMT model (with attention) to translate human readable dates (\"25th of June, 2009\") into machine readable dates (\"2009-06-25\"). \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.2.2\n",
      "1.10.0\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "print (keras.__version__)\n",
    "import tensorflow\n",
    "print (tensorflow.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.23.4\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import tqdm\n",
    "print (tqdm.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.layers import Bidirectional, Concatenate, Permute, Dot, Input, LSTM, Multiply\n",
    "from keras.layers import RepeatVector, Dense, Activation, Lambda\n",
    "from keras.optimizers import Adam\n",
    "from keras.utils import to_categorical\n",
    "from keras.models import load_model, Model\n",
    "import keras.backend as K\n",
    "import numpy as np\n",
    "\n",
    "from faker import Faker\n",
    "import random\n",
    "from tqdm import tqdm\n",
    "from babel.dates import format_date\n",
    "from nmt_utils import *\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1 - Translating human readable dates into machine readable dates\n",
    "\n",
    "The model you will build here could be used to translate from one language to another, such as translating from English to Hindi. However, language translation requires massive datasets and usually takes days of training on GPUs. To give you a place to experiment with these models even without using massive datasets, we will instead use a simpler \"date translation\" task. \n",
    "\n",
    "The network will input a date written in a variety of possible formats (*e.g. \"the 29th of August 1958\", \"03/30/1968\", \"24 JUNE 1987\"*) and translate them into standardized, machine readable dates (*e.g. \"1958-08-29\", \"1968-03-30\", \"1987-06-24\"*). We will have the network learn to output dates in the common machine-readable format YYYY-MM-DD. \n",
    "\n",
    "\n",
    "\n",
    "<!-- \n",
    "Take a look at [nmt_utils.py](./nmt_utils.py) to see all the formatting. Count and figure out how the formats work, you will need this knowledge later. !--> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 - Dataset\n",
    "\n",
    "We will train the model on a dataset of 10000 human readable dates and their equivalent, standardized, machine readable dates. Let's run the following cells to load the dataset and print some examples. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10000/10000 [00:00<00:00, 17923.72it/s]\n"
     ]
    }
   ],
   "source": [
    "m = 10000\n",
    "dataset, human_vocab, machine_vocab, inv_machine_vocab = load_dataset(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('29 may 1984', '1984-05-29'),\n",
       " ('thursday january 10 2013', '2013-01-10'),\n",
       " ('saturday august 4 1973', '1973-08-04'),\n",
       " ('9/6/84', '1984-09-06'),\n",
       " ('monday september 28 2009', '2009-09-28'),\n",
       " ('thursday december 29 2005', '2005-12-29'),\n",
       " ('22 jan 1991', '1991-01-22'),\n",
       " ('2 09 04', '2004-09-02'),\n",
       " ('thursday october 19 1995', '1995-10-19'),\n",
       " ('friday september 7 1979', '1979-09-07')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000\n",
      "37\n",
      "11\n",
      "11\n"
     ]
    }
   ],
   "source": [
    "print (len(dataset))\n",
    "print (len(human_vocab))\n",
    "print (len(machine_vocab))\n",
    "print (len(inv_machine_vocab))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "human_vocab : {' ': 0, '.': 1, '/': 2, '0': 3, '1': 4, '2': 5, '3': 6, '4': 7, '5': 8, '6': 9, '7': 10, '8': 11, '9': 12, 'a': 13, 'b': 14, 'c': 15, 'd': 16, 'e': 17, 'f': 18, 'g': 19, 'h': 20, 'i': 21, 'j': 22, 'l': 23, 'm': 24, 'n': 25, 'o': 26, 'p': 27, 'r': 28, 's': 29, 't': 30, 'u': 31, 'v': 32, 'w': 33, 'y': 34, '<unk>': 35, '<pad>': 36}\n",
      "machine_vocab:  {'-': 0, '0': 1, '1': 2, '2': 3, '3': 4, '4': 5, '5': 6, '6': 7, '7': 8, '8': 9, '9': 10}\n",
      "inv_machine_vocab : {0: '-', 1: '0', 2: '1', 3: '2', 4: '3', 5: '4', 6: '5', 7: '6', 8: '7', 9: '8', 10: '9'}\n"
     ]
    }
   ],
   "source": [
    "print (\"human_vocab :\",human_vocab)\n",
    "print (\"machine_vocab: \",machine_vocab)\n",
    "print (\"inv_machine_vocab :\", inv_machine_vocab)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Preprocess the data and map the raw text data into the index values. We will also use Tx=30 (which we assume is the maximum length of the human readable date; if we get a longer input, we would have to truncate it) and Ty=10 (since \"YYYY-MM-DD\" is 10 characters long). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X.shape: (10000, 30)\n",
      "Y.shape: (10000, 10)\n",
      "Xoh.shape: (10000, 30, 37)\n",
      "Yoh.shape: (10000, 10, 11)\n"
     ]
    }
   ],
   "source": [
    "Tx = 30\n",
    "Ty = 10\n",
    "X, Y, Xoh, Yoh = preprocess_data(dataset, human_vocab, machine_vocab, Tx, Ty)\n",
    "\n",
    "print(\"X.shape:\", X.shape)\n",
    "print(\"Y.shape:\", Y.shape)\n",
    "print(\"Xoh.shape:\", Xoh.shape)\n",
    "print(\"Yoh.shape:\", Yoh.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source date: 29 may 1984\n",
      "Target date: 1984-05-29\n",
      "\n",
      "Source after preprocessing (indices): [ 5 12  0 24 13 34  0  4 12 11  7 36 36 36 36 36 36 36 36 36 36 36 36 36\n",
      " 36 36 36 36 36 36]\n",
      "Target after preprocessing (indices): [ 2 10  9  5  0  1  6  0  3 10]\n",
      "\n",
      "Source after preprocessing (one-hot): [[0. 0. 0. ... 0. 0. 0.]\n",
      " [0. 0. 0. ... 0. 0. 0.]\n",
      " [1. 0. 0. ... 0. 0. 0.]\n",
      " ...\n",
      " [0. 0. 0. ... 0. 0. 1.]\n",
      " [0. 0. 0. ... 0. 0. 1.]\n",
      " [0. 0. 0. ... 0. 0. 1.]]\n",
      "Target after preprocessing (one-hot): [[0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
      " [0. 0. 0. 0. 0. 0. 0. 0. 0. 1. 0.]\n",
      " [0. 0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]\n",
      " [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.]\n",
      " [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0.]\n",
      " [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]]\n"
     ]
    }
   ],
   "source": [
    "index = 0\n",
    "print(\"Source date:\", dataset[index][0])\n",
    "print(\"Target date:\", dataset[index][1])\n",
    "print()\n",
    "print(\"Source after preprocessing (indices):\", X[index])\n",
    "print(\"Target after preprocessing (indices):\", Y[index])\n",
    "print()\n",
    "print(\"Source after preprocessing (one-hot):\", Xoh[index])\n",
    "print(\"Target after preprocessing (one-hot):\", Yoh[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defined shared layers as global variables\n",
    "repeator = RepeatVector(Tx)\n",
    "concatenator = Concatenate(axis=-1)\n",
    "densor1 = Dense(10, activation = \"tanh\")\n",
    "densor2 = Dense(1, activation = \"relu\")\n",
    "activator = Activation(softmax, name='attention_weights') # We are using a custom softmax(axis = 1) loaded in this notebook\n",
    "dotor = Dot(axes = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you can use these layers to implement `one_step_attention()`. In order to propagate a Keras tensor object X through one of these layers, use `layer(X)` (or `layer([X,Y])` if it requires multiple inputs.), e.g. `densor(X)` will propagate X through the `Dense(1)` layer defined above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# GRADED FUNCTION: one_step_attention\n",
    "\n",
    "def one_step_attention(a, s_prev):\n",
    "    \"\"\"\n",
    "    a -- hidden state output of the Bi-LSTM, numpy-array of shape (m, Tx, 2*n_a)\n",
    "    s_prev -- previous hidden state of the (post-attention) LSTM, numpy-array of shape (m, n_s)\n",
    "    \"\"\"\n",
    "    s_prev = repeator(s_prev)\n",
    "    concat = concatenator([a, s_prev])\n",
    "    e = densor1(concat)\n",
    "    energies = densor2(e)\n",
    "    alphas = activator(energies)\n",
    "    context = dotor([alphas, a])\n",
    "    return context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(machine_vocab)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_a = 32\n",
    "n_s = 64\n",
    "post_activation_LSTM_cell = LSTM(n_s, return_state = True)\n",
    "output_layer = Dense(len(machine_vocab), activation=softmax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "n_a: 32\n",
      "n_s: 64\n"
     ]
    }
   ],
   "source": [
    "print (\"n_a:\", n_a)\n",
    "print (\"n_s:\", n_s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model(Tx, Ty, n_a, n_s, human_vocab_size, machine_vocab_size):\n",
    "    X = Input(shape=(Tx, human_vocab_size))\n",
    "    s0 = Input(shape=(n_s,), name='s0') # why is this shape rank 0 vector? is this always done?\n",
    "    c0 = Input(shape=(n_s,), name='c0')\n",
    "    s = s0\n",
    "    c = c0\n",
    "    outputs = []\n",
    "    encoder_lstm=Bidirectional(LSTM(n_a, return_sequences=True))\n",
    "    a = encoder_lstm(X)\n",
    "    for t in range(Ty):\n",
    "        context = one_step_attention(a, s)\n",
    "        s, _, c = post_activation_LSTM_cell(context, initial_state = [s, c])\n",
    "        out = output_layer(s)\n",
    "        outputs.append(out)\n",
    "    model = Model(inputs = [X, s0, c0], outputs = outputs)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def model(Tx, Ty, n_a, n_s, human_vocab_size, machine_vocab_size):\n",
    "    X = Input(shape=(Tx, human_vocab_size))\n",
    "    s0 = Input(shape=(n_s,), name='s0') # why is this shape rank 0 vector? is this always done?\n",
    "    c0 = Input(shape=(n_s,), name='c0')\n",
    "    s = s0\n",
    "    c = c0\n",
    "    outputs = []\n",
    "    encoder_lstm=Bidirectional(LSTM(n_a, return_sequences=True))\n",
    "    a = encoder_lstm(X)\n",
    "    for t in range(Ty):\n",
    "        context = one_step_attention(a, s)\n",
    "        s, _, c = post_activation_LSTM_cell(context, initial_state = [s, c])\n",
    "        out = output_layer(s)\n",
    "        outputs.append(out)\n",
    "    model = Model(inputs = [X, s0, c0], outputs = outputs)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = model(Tx, Ty, n_a, n_s, len(human_vocab), len(machine_vocab))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 30, 37)       0                                            \n",
      "__________________________________________________________________________________________________\n",
      "s0 (InputLayer)                 (None, 64)           0                                            \n",
      "__________________________________________________________________________________________________\n",
      "bidirectional_1 (Bidirectional) (None, 30, 64)       17920       input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "repeat_vector_1 (RepeatVector)  (None, 30, 64)       0           s0[0][0]                         \n",
      "                                                                 lstm_1[0][0]                     \n",
      "                                                                 lstm_1[1][0]                     \n",
      "                                                                 lstm_1[2][0]                     \n",
      "                                                                 lstm_1[3][0]                     \n",
      "                                                                 lstm_1[4][0]                     \n",
      "                                                                 lstm_1[5][0]                     \n",
      "                                                                 lstm_1[6][0]                     \n",
      "                                                                 lstm_1[7][0]                     \n",
      "                                                                 lstm_1[8][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 30, 128)      0           bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[0][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[1][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[2][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[3][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[4][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[5][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[6][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[7][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[8][0]            \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 repeat_vector_1[9][0]            \n",
      "__________________________________________________________________________________________________\n",
      "dense_1 (Dense)                 (None, 30, 10)       1290        concatenate_1[0][0]              \n",
      "                                                                 concatenate_1[1][0]              \n",
      "                                                                 concatenate_1[2][0]              \n",
      "                                                                 concatenate_1[3][0]              \n",
      "                                                                 concatenate_1[4][0]              \n",
      "                                                                 concatenate_1[5][0]              \n",
      "                                                                 concatenate_1[6][0]              \n",
      "                                                                 concatenate_1[7][0]              \n",
      "                                                                 concatenate_1[8][0]              \n",
      "                                                                 concatenate_1[9][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 30, 1)        11          dense_1[0][0]                    \n",
      "                                                                 dense_1[1][0]                    \n",
      "                                                                 dense_1[2][0]                    \n",
      "                                                                 dense_1[3][0]                    \n",
      "                                                                 dense_1[4][0]                    \n",
      "                                                                 dense_1[5][0]                    \n",
      "                                                                 dense_1[6][0]                    \n",
      "                                                                 dense_1[7][0]                    \n",
      "                                                                 dense_1[8][0]                    \n",
      "                                                                 dense_1[9][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "attention_weights (Activation)  (None, 30, 1)        0           dense_2[0][0]                    \n",
      "                                                                 dense_2[1][0]                    \n",
      "                                                                 dense_2[2][0]                    \n",
      "                                                                 dense_2[3][0]                    \n",
      "                                                                 dense_2[4][0]                    \n",
      "                                                                 dense_2[5][0]                    \n",
      "                                                                 dense_2[6][0]                    \n",
      "                                                                 dense_2[7][0]                    \n",
      "                                                                 dense_2[8][0]                    \n",
      "                                                                 dense_2[9][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dot_1 (Dot)                     (None, 1, 64)        0           attention_weights[0][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[1][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[2][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[3][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[4][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[5][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[6][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[7][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[8][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "                                                                 attention_weights[9][0]          \n",
      "                                                                 bidirectional_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "c0 (InputLayer)                 (None, 64)           0                                            \n",
      "__________________________________________________________________________________________________\n",
      "lstm_1 (LSTM)                   [(None, 64), (None,  33024       dot_1[0][0]                      \n",
      "                                                                 s0[0][0]                         \n",
      "                                                                 c0[0][0]                         \n",
      "                                                                 dot_1[1][0]                      \n",
      "                                                                 lstm_1[0][0]                     \n",
      "                                                                 lstm_1[0][2]                     \n",
      "                                                                 dot_1[2][0]                      \n",
      "                                                                 lstm_1[1][0]                     \n",
      "                                                                 lstm_1[1][2]                     \n",
      "                                                                 dot_1[3][0]                      \n",
      "                                                                 lstm_1[2][0]                     \n",
      "                                                                 lstm_1[2][2]                     \n",
      "                                                                 dot_1[4][0]                      \n",
      "                                                                 lstm_1[3][0]                     \n",
      "                                                                 lstm_1[3][2]                     \n",
      "                                                                 dot_1[5][0]                      \n",
      "                                                                 lstm_1[4][0]                     \n",
      "                                                                 lstm_1[4][2]                     \n",
      "                                                                 dot_1[6][0]                      \n",
      "                                                                 lstm_1[5][0]                     \n",
      "                                                                 lstm_1[5][2]                     \n",
      "                                                                 dot_1[7][0]                      \n",
      "                                                                 lstm_1[6][0]                     \n",
      "                                                                 lstm_1[6][2]                     \n",
      "                                                                 dot_1[8][0]                      \n",
      "                                                                 lstm_1[7][0]                     \n",
      "                                                                 lstm_1[7][2]                     \n",
      "                                                                 dot_1[9][0]                      \n",
      "                                                                 lstm_1[8][0]                     \n",
      "                                                                 lstm_1[8][2]                     \n",
      "__________________________________________________________________________________________________\n",
      "dense_3 (Dense)                 (None, 11)           715         lstm_1[0][0]                     \n",
      "                                                                 lstm_1[1][0]                     \n",
      "                                                                 lstm_1[2][0]                     \n",
      "                                                                 lstm_1[3][0]                     \n",
      "                                                                 lstm_1[4][0]                     \n",
      "                                                                 lstm_1[5][0]                     \n",
      "                                                                 lstm_1[6][0]                     \n",
      "                                                                 lstm_1[7][0]                     \n",
      "                                                                 lstm_1[8][0]                     \n",
      "                                                                 lstm_1[9][0]                     \n",
      "==================================================================================================\n",
      "Total params: 52,960\n",
      "Trainable params: 52,960\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "out = model.compile(optimizer=Adam(lr=0.005, beta_1=0.9, beta_2=0.999, decay=0.01),\n",
    "                    metrics=['accuracy'],\n",
    "                    loss='categorical_crossentropy')\n",
    "out"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "- Given the `model()` you coded, you need the \"outputs\" to be a list of 11 elements of shape (m, T_y). So that: `outputs[i][0], ..., outputs[i][Ty]` represent the true labels (characters) corresponding to the $i^{th}$ training example (`X[i]`). More generally, `outputs[i][j]` is the true label of the $j^{th}$ character in the $i^{th}$ training example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "s0 = np.zeros((m, n_s))\n",
    "c0 = np.zeros((m, n_s))\n",
    "outputs = list(Yoh.swapaxes(0,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now fit the model and run it for one epoch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/1000\n",
      "10000/10000 [==============================] - 26s - loss: 2.3334 - dense_4_loss_1: 0.0384 - dense_4_loss_2: 0.0231 - dense_4_loss_3: 0.2425 - dense_4_loss_4: 0.5516 - dense_4_loss_5: 0.0077 - dense_4_loss_6: 0.0786 - dense_4_loss_7: 0.4928 - dense_4_loss_8: 0.0057 - dense_4_loss_9: 0.4019 - dense_4_loss_10: 0.4909 - dense_4_acc_1: 0.9903 - dense_4_acc_2: 0.9923 - dense_4_acc_3: 0.9131 - dense_4_acc_4: 0.8712 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9782 - dense_4_acc_7: 0.8818 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8652 - dense_4_acc_10: 0.8435    \n",
      "Epoch 2/1000\n",
      "10000/10000 [==============================] - 27s - loss: 2.1174 - dense_4_loss_1: 0.0352 - dense_4_loss_2: 0.0198 - dense_4_loss_3: 0.2234 - dense_4_loss_4: 0.4856 - dense_4_loss_5: 0.0072 - dense_4_loss_6: 0.0749 - dense_4_loss_7: 0.4382 - dense_4_loss_8: 0.0052 - dense_4_loss_9: 0.3772 - dense_4_loss_10: 0.4506 - dense_4_acc_1: 0.9917 - dense_4_acc_2: 0.9937 - dense_4_acc_3: 0.9239 - dense_4_acc_4: 0.8897 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9804 - dense_4_acc_7: 0.8988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8723 - dense_4_acc_10: 0.8565    \n",
      "Epoch 3/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.9378 - dense_4_loss_1: 0.0319 - dense_4_loss_2: 0.0174 - dense_4_loss_3: 0.2062 - dense_4_loss_4: 0.4329 - dense_4_loss_5: 0.0066 - dense_4_loss_6: 0.0695 - dense_4_loss_7: 0.3967 - dense_4_loss_8: 0.0051 - dense_4_loss_9: 0.3535 - dense_4_loss_10: 0.4181 - dense_4_acc_1: 0.9920 - dense_4_acc_2: 0.9949 - dense_4_acc_3: 0.9311 - dense_4_acc_4: 0.9070 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9823 - dense_4_acc_7: 0.9077 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8794 - dense_4_acc_10: 0.8717    \n",
      "Epoch 4/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.7863 - dense_4_loss_1: 0.0295 - dense_4_loss_2: 0.0154 - dense_4_loss_3: 0.1915 - dense_4_loss_4: 0.3848 - dense_4_loss_5: 0.0060 - dense_4_loss_6: 0.0668 - dense_4_loss_7: 0.3635 - dense_4_loss_8: 0.0046 - dense_4_loss_9: 0.3300 - dense_4_loss_10: 0.3941 - dense_4_acc_1: 0.9928 - dense_4_acc_2: 0.9961 - dense_4_acc_3: 0.9406 - dense_4_acc_4: 0.9211 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9821 - dense_4_acc_7: 0.9173 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8874 - dense_4_acc_10: 0.8748    \n",
      "Epoch 5/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.6571 - dense_4_loss_1: 0.0266 - dense_4_loss_2: 0.0139 - dense_4_loss_3: 0.1767 - dense_4_loss_4: 0.3482 - dense_4_loss_5: 0.0058 - dense_4_loss_6: 0.0629 - dense_4_loss_7: 0.3371 - dense_4_loss_8: 0.0043 - dense_4_loss_9: 0.3104 - dense_4_loss_10: 0.3712 - dense_4_acc_1: 0.9941 - dense_4_acc_2: 0.9959 - dense_4_acc_3: 0.9490 - dense_4_acc_4: 0.9304 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9824 - dense_4_acc_7: 0.9239 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8925 - dense_4_acc_10: 0.8814    \n",
      "Epoch 6/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.5516 - dense_4_loss_1: 0.0247 - dense_4_loss_2: 0.0125 - dense_4_loss_3: 0.1643 - dense_4_loss_4: 0.3149 - dense_4_loss_5: 0.0052 - dense_4_loss_6: 0.0609 - dense_4_loss_7: 0.3142 - dense_4_loss_8: 0.0041 - dense_4_loss_9: 0.2948 - dense_4_loss_10: 0.3560 - dense_4_acc_1: 0.9943 - dense_4_acc_2: 0.9965 - dense_4_acc_3: 0.9536 - dense_4_acc_4: 0.9388 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9827 - dense_4_acc_7: 0.9276 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.8972 - dense_4_acc_10: 0.8865    \n",
      "Epoch 7/1000\n",
      "10000/10000 [==============================] - 27s - loss: 1.4559 - dense_4_loss_1: 0.0231 - dense_4_loss_2: 0.0113 - dense_4_loss_3: 0.1529 - dense_4_loss_4: 0.2879 - dense_4_loss_5: 0.0050 - dense_4_loss_6: 0.0580 - dense_4_loss_7: 0.2985 - dense_4_loss_8: 0.0040 - dense_4_loss_9: 0.2759 - dense_4_loss_10: 0.3394 - dense_4_acc_1: 0.9947 - dense_4_acc_2: 0.9969 - dense_4_acc_3: 0.9606 - dense_4_acc_4: 0.9467 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9836 - dense_4_acc_7: 0.9292 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9044 - dense_4_acc_10: 0.8902    \n",
      "Epoch 8/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.3594 - dense_4_loss_1: 0.0215 - dense_4_loss_2: 0.0102 - dense_4_loss_3: 0.1418 - dense_4_loss_4: 0.2626 - dense_4_loss_5: 0.0047 - dense_4_loss_6: 0.0545 - dense_4_loss_7: 0.2771 - dense_4_loss_8: 0.0036 - dense_4_loss_9: 0.2593 - dense_4_loss_10: 0.3240 - dense_4_acc_1: 0.9949 - dense_4_acc_2: 0.9973 - dense_4_acc_3: 0.9641 - dense_4_acc_4: 0.9534 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9849 - dense_4_acc_7: 0.9347 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9118 - dense_4_acc_10: 0.8953    \n",
      "Epoch 9/1000\n",
      "10000/10000 [==============================] - 27s - loss: 1.2870 - dense_4_loss_1: 0.0200 - dense_4_loss_2: 0.0092 - dense_4_loss_3: 0.1308 - dense_4_loss_4: 0.2415 - dense_4_loss_5: 0.0043 - dense_4_loss_6: 0.0526 - dense_4_loss_7: 0.2630 - dense_4_loss_8: 0.0035 - dense_4_loss_9: 0.2460 - dense_4_loss_10: 0.3162 - dense_4_acc_1: 0.9961 - dense_4_acc_2: 0.9978 - dense_4_acc_3: 0.9691 - dense_4_acc_4: 0.9593 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9849 - dense_4_acc_7: 0.9373 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9166 - dense_4_acc_10: 0.8963    \n",
      "Epoch 10/1000\n",
      "10000/10000 [==============================] - 27s - loss: 1.2182 - dense_4_loss_1: 0.0188 - dense_4_loss_2: 0.0084 - dense_4_loss_3: 0.1225 - dense_4_loss_4: 0.2232 - dense_4_loss_5: 0.0041 - dense_4_loss_6: 0.0512 - dense_4_loss_7: 0.2500 - dense_4_loss_8: 0.0034 - dense_4_loss_9: 0.2331 - dense_4_loss_10: 0.3035 - dense_4_acc_1: 0.9961 - dense_4_acc_2: 0.9980 - dense_4_acc_3: 0.9713 - dense_4_acc_4: 0.9623 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9849 - dense_4_acc_7: 0.9399 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9249 - dense_4_acc_10: 0.8995    \n",
      "Epoch 11/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.1546 - dense_4_loss_1: 0.0177 - dense_4_loss_2: 0.0079 - dense_4_loss_3: 0.1151 - dense_4_loss_4: 0.2058 - dense_4_loss_5: 0.0039 - dense_4_loss_6: 0.0496 - dense_4_loss_7: 0.2398 - dense_4_loss_8: 0.0032 - dense_4_loss_9: 0.2191 - dense_4_loss_10: 0.2926 - dense_4_acc_1: 0.9965 - dense_4_acc_2: 0.9980 - dense_4_acc_3: 0.9731 - dense_4_acc_4: 0.9667 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9849 - dense_4_acc_7: 0.9429 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9302 - dense_4_acc_10: 0.9041    \n",
      "Epoch 12/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.1020 - dense_4_loss_1: 0.0167 - dense_4_loss_2: 0.0072 - dense_4_loss_3: 0.1076 - dense_4_loss_4: 0.1935 - dense_4_loss_5: 0.0036 - dense_4_loss_6: 0.0476 - dense_4_loss_7: 0.2312 - dense_4_loss_8: 0.0031 - dense_4_loss_9: 0.2085 - dense_4_loss_10: 0.2831 - dense_4_acc_1: 0.9968 - dense_4_acc_2: 0.9986 - dense_4_acc_3: 0.9758 - dense_4_acc_4: 0.9697 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9856 - dense_4_acc_7: 0.9448 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9364 - dense_4_acc_10: 0.9082    \n",
      "Epoch 13/1000\n",
      "10000/10000 [==============================] - 26s - loss: 1.0599 - dense_4_loss_1: 0.0157 - dense_4_loss_2: 0.0067 - dense_4_loss_3: 0.1014 - dense_4_loss_4: 0.1814 - dense_4_loss_5: 0.0034 - dense_4_loss_6: 0.0462 - dense_4_loss_7: 0.2252 - dense_4_loss_8: 0.0029 - dense_4_loss_9: 0.2008 - dense_4_loss_10: 0.2760 - dense_4_acc_1: 0.9970 - dense_4_acc_2: 0.9985 - dense_4_acc_3: 0.9769 - dense_4_acc_4: 0.9737 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9859 - dense_4_acc_7: 0.9472 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9388 - dense_4_acc_10: 0.9081    \n",
      "Epoch 14/1000\n",
      "10000/10000 [==============================] - 27s - loss: 1.0072 - dense_4_loss_1: 0.0148 - dense_4_loss_2: 0.0063 - dense_4_loss_3: 0.0955 - dense_4_loss_4: 0.1695 - dense_4_loss_5: 0.0034 - dense_4_loss_6: 0.0449 - dense_4_loss_7: 0.2147 - dense_4_loss_8: 0.0028 - dense_4_loss_9: 0.1887 - dense_4_loss_10: 0.2667 - dense_4_acc_1: 0.9975 - dense_4_acc_2: 0.9985 - dense_4_acc_3: 0.9792 - dense_4_acc_4: 0.9736 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9850 - dense_4_acc_7: 0.9470 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9416 - dense_4_acc_10: 0.9119    \n",
      "Epoch 15/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.9688 - dense_4_loss_1: 0.0139 - dense_4_loss_2: 0.0058 - dense_4_loss_3: 0.0893 - dense_4_loss_4: 0.1594 - dense_4_loss_5: 0.0031 - dense_4_loss_6: 0.0437 - dense_4_loss_7: 0.2089 - dense_4_loss_8: 0.0027 - dense_4_loss_9: 0.1818 - dense_4_loss_10: 0.2602 - dense_4_acc_1: 0.9973 - dense_4_acc_2: 0.9988 - dense_4_acc_3: 0.9808 - dense_4_acc_4: 0.9780 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9863 - dense_4_acc_7: 0.9474 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9455 - dense_4_acc_10: 0.9149    \n",
      "Epoch 16/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.9290 - dense_4_loss_1: 0.0133 - dense_4_loss_2: 0.0053 - dense_4_loss_3: 0.0855 - dense_4_loss_4: 0.1505 - dense_4_loss_5: 0.0030 - dense_4_loss_6: 0.0426 - dense_4_loss_7: 0.2008 - dense_4_loss_8: 0.0026 - dense_4_loss_9: 0.1734 - dense_4_loss_10: 0.2519 - dense_4_acc_1: 0.9980 - dense_4_acc_2: 0.9989 - dense_4_acc_3: 0.9811 - dense_4_acc_4: 0.9805 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9859 - dense_4_acc_7: 0.9508 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9490 - dense_4_acc_10: 0.9188    \n",
      "Epoch 17/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.8952 - dense_4_loss_1: 0.0127 - dense_4_loss_2: 0.0051 - dense_4_loss_3: 0.0799 - dense_4_loss_4: 0.1430 - dense_4_loss_5: 0.0028 - dense_4_loss_6: 0.0416 - dense_4_loss_7: 0.1981 - dense_4_loss_8: 0.0024 - dense_4_loss_9: 0.1642 - dense_4_loss_10: 0.2454 - dense_4_acc_1: 0.9976 - dense_4_acc_2: 0.9991 - dense_4_acc_3: 0.9831 - dense_4_acc_4: 0.9835 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9871 - dense_4_acc_7: 0.9512 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9507 - dense_4_acc_10: 0.9213    \n",
      "Epoch 18/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.8608 - dense_4_loss_1: 0.0121 - dense_4_loss_2: 0.0047 - dense_4_loss_3: 0.0753 - dense_4_loss_4: 0.1355 - dense_4_loss_5: 0.0027 - dense_4_loss_6: 0.0404 - dense_4_loss_7: 0.1914 - dense_4_loss_8: 0.0024 - dense_4_loss_9: 0.1573 - dense_4_loss_10: 0.2389 - dense_4_acc_1: 0.9978 - dense_4_acc_2: 0.9995 - dense_4_acc_3: 0.9841 - dense_4_acc_4: 0.9841 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9872 - dense_4_acc_7: 0.9528 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9543 - dense_4_acc_10: 0.9243    \n",
      "Epoch 19/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.8293 - dense_4_loss_1: 0.0115 - dense_4_loss_2: 0.0045 - dense_4_loss_3: 0.0717 - dense_4_loss_4: 0.1288 - dense_4_loss_5: 0.0027 - dense_4_loss_6: 0.0395 - dense_4_loss_7: 0.1864 - dense_4_loss_8: 0.0023 - dense_4_loss_9: 0.1498 - dense_4_loss_10: 0.2321 - dense_4_acc_1: 0.9977 - dense_4_acc_2: 0.9995 - dense_4_acc_3: 0.9858 - dense_4_acc_4: 0.9874 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9869 - dense_4_acc_7: 0.9525 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9579 - dense_4_acc_10: 0.9277    \n",
      "Epoch 20/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.7985 - dense_4_loss_1: 0.0110 - dense_4_loss_2: 0.0044 - dense_4_loss_3: 0.0683 - dense_4_loss_4: 0.1213 - dense_4_loss_5: 0.0025 - dense_4_loss_6: 0.0385 - dense_4_loss_7: 0.1816 - dense_4_loss_8: 0.0022 - dense_4_loss_9: 0.1432 - dense_4_loss_10: 0.2257 - dense_4_acc_1: 0.9983 - dense_4_acc_2: 0.9996 - dense_4_acc_3: 0.9865 - dense_4_acc_4: 0.9896 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9872 - dense_4_acc_7: 0.9533 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9609 - dense_4_acc_10: 0.9300    \n",
      "Epoch 21/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.7780 - dense_4_loss_1: 0.0107 - dense_4_loss_2: 0.0041 - dense_4_loss_3: 0.0647 - dense_4_loss_4: 0.1164 - dense_4_loss_5: 0.0024 - dense_4_loss_6: 0.0383 - dense_4_loss_7: 0.1793 - dense_4_loss_8: 0.0022 - dense_4_loss_9: 0.1397 - dense_4_loss_10: 0.2201 - dense_4_acc_1: 0.9982 - dense_4_acc_2: 0.9996 - dense_4_acc_3: 0.9869 - dense_4_acc_4: 0.9909 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9885 - dense_4_acc_7: 0.9539 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9613 - dense_4_acc_10: 0.9314    \n",
      "Epoch 22/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.7503 - dense_4_loss_1: 0.0102 - dense_4_loss_2: 0.0039 - dense_4_loss_3: 0.0616 - dense_4_loss_4: 0.1108 - dense_4_loss_5: 0.0024 - dense_4_loss_6: 0.0373 - dense_4_loss_7: 0.1734 - dense_4_loss_8: 0.0021 - dense_4_loss_9: 0.1336 - dense_4_loss_10: 0.2150 - dense_4_acc_1: 0.9981 - dense_4_acc_2: 0.9998 - dense_4_acc_3: 0.9879 - dense_4_acc_4: 0.9928 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9871 - dense_4_acc_7: 0.9552 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9642 - dense_4_acc_10: 0.9332    \n",
      "Epoch 23/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.7279 - dense_4_loss_1: 0.0098 - dense_4_loss_2: 0.0038 - dense_4_loss_3: 0.0583 - dense_4_loss_4: 0.1062 - dense_4_loss_5: 0.0022 - dense_4_loss_6: 0.0373 - dense_4_loss_7: 0.1696 - dense_4_loss_8: 0.0020 - dense_4_loss_9: 0.1286 - dense_4_loss_10: 0.2100 - dense_4_acc_1: 0.9983 - dense_4_acc_2: 0.9995 - dense_4_acc_3: 0.9889 - dense_4_acc_4: 0.9929 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9878 - dense_4_acc_7: 0.9564 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9661 - dense_4_acc_10: 0.9356    \n",
      "Epoch 24/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.7064 - dense_4_loss_1: 0.0094 - dense_4_loss_2: 0.0035 - dense_4_loss_3: 0.0564 - dense_4_loss_4: 0.1004 - dense_4_loss_5: 0.0022 - dense_4_loss_6: 0.0361 - dense_4_loss_7: 0.1665 - dense_4_loss_8: 0.0019 - dense_4_loss_9: 0.1244 - dense_4_loss_10: 0.2054 - dense_4_acc_1: 0.9984 - dense_4_acc_2: 0.9998 - dense_4_acc_3: 0.9896 - dense_4_acc_4: 0.9941 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9878 - dense_4_acc_7: 0.9560 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9682 - dense_4_acc_10: 0.9368    \n",
      "Epoch 25/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.6819 - dense_4_loss_1: 0.0091 - dense_4_loss_2: 0.0033 - dense_4_loss_3: 0.0534 - dense_4_loss_4: 0.0963 - dense_4_loss_5: 0.0021 - dense_4_loss_6: 0.0351 - dense_4_loss_7: 0.1629 - dense_4_loss_8: 0.0019 - dense_4_loss_9: 0.1185 - dense_4_loss_10: 0.1993 - dense_4_acc_1: 0.9984 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9905 - dense_4_acc_4: 0.9946 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9889 - dense_4_acc_7: 0.9573 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9703 - dense_4_acc_10: 0.9409    \n",
      "Epoch 26/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.6645 - dense_4_loss_1: 0.0088 - dense_4_loss_2: 0.0032 - dense_4_loss_3: 0.0508 - dense_4_loss_4: 0.0922 - dense_4_loss_5: 0.0020 - dense_4_loss_6: 0.0345 - dense_4_loss_7: 0.1602 - dense_4_loss_8: 0.0019 - dense_4_loss_9: 0.1157 - dense_4_loss_10: 0.1952 - dense_4_acc_1: 0.9984 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9912 - dense_4_acc_4: 0.9956 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9889 - dense_4_acc_7: 0.9571 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9731 - dense_4_acc_10: 0.9411    \n",
      "Epoch 27/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.6417 - dense_4_loss_1: 0.0085 - dense_4_loss_2: 0.0031 - dense_4_loss_3: 0.0485 - dense_4_loss_4: 0.0883 - dense_4_loss_5: 0.0020 - dense_4_loss_6: 0.0341 - dense_4_loss_7: 0.1565 - dense_4_loss_8: 0.0018 - dense_4_loss_9: 0.1103 - dense_4_loss_10: 0.1887 - dense_4_acc_1: 0.9986 - dense_4_acc_2: 0.9998 - dense_4_acc_3: 0.9919 - dense_4_acc_4: 0.9961 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9886 - dense_4_acc_7: 0.9578 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9742 - dense_4_acc_10: 0.9444    \n",
      "Epoch 28/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.6266 - dense_4_loss_1: 0.0081 - dense_4_loss_2: 0.0030 - dense_4_loss_3: 0.0469 - dense_4_loss_4: 0.0846 - dense_4_loss_5: 0.0019 - dense_4_loss_6: 0.0333 - dense_4_loss_7: 0.1554 - dense_4_loss_8: 0.0017 - dense_4_loss_9: 0.1071 - dense_4_loss_10: 0.1845 - dense_4_acc_1: 0.9985 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9921 - dense_4_acc_4: 0.9967 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9889 - dense_4_acc_7: 0.9579 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9744 - dense_4_acc_10: 0.9471    \n",
      "Epoch 29/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 26s - loss: 0.6105 - dense_4_loss_1: 0.0079 - dense_4_loss_2: 0.0029 - dense_4_loss_3: 0.0446 - dense_4_loss_4: 0.0813 - dense_4_loss_5: 0.0019 - dense_4_loss_6: 0.0331 - dense_4_loss_7: 0.1512 - dense_4_loss_8: 0.0017 - dense_4_loss_9: 0.1048 - dense_4_loss_10: 0.1812 - dense_4_acc_1: 0.9985 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9924 - dense_4_acc_4: 0.9974 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9893 - dense_4_acc_7: 0.9579 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9752 - dense_4_acc_10: 0.9466    \n",
      "Epoch 30/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5935 - dense_4_loss_1: 0.0076 - dense_4_loss_2: 0.0027 - dense_4_loss_3: 0.0430 - dense_4_loss_4: 0.0778 - dense_4_loss_5: 0.0017 - dense_4_loss_6: 0.0326 - dense_4_loss_7: 0.1500 - dense_4_loss_8: 0.0017 - dense_4_loss_9: 0.1009 - dense_4_loss_10: 0.1754 - dense_4_acc_1: 0.9987 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9938 - dense_4_acc_4: 0.9978 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9888 - dense_4_acc_7: 0.9592 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9766 - dense_4_acc_10: 0.9506    \n",
      "Epoch 31/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5791 - dense_4_loss_1: 0.0075 - dense_4_loss_2: 0.0026 - dense_4_loss_3: 0.0411 - dense_4_loss_4: 0.0747 - dense_4_loss_5: 0.0017 - dense_4_loss_6: 0.0322 - dense_4_loss_7: 0.1480 - dense_4_loss_8: 0.0016 - dense_4_loss_9: 0.0982 - dense_4_loss_10: 0.1713 - dense_4_acc_1: 0.9986 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9941 - dense_4_acc_4: 0.9979 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9888 - dense_4_acc_7: 0.9587 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9776 - dense_4_acc_10: 0.9507    \n",
      "Epoch 32/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5664 - dense_4_loss_1: 0.0072 - dense_4_loss_2: 0.0026 - dense_4_loss_3: 0.0393 - dense_4_loss_4: 0.0733 - dense_4_loss_5: 0.0017 - dense_4_loss_6: 0.0311 - dense_4_loss_7: 0.1458 - dense_4_loss_8: 0.0016 - dense_4_loss_9: 0.0950 - dense_4_loss_10: 0.1687 - dense_4_acc_1: 0.9986 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9943 - dense_4_acc_4: 0.9983 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9896 - dense_4_acc_7: 0.9598 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9793 - dense_4_acc_10: 0.9549    \n",
      "Epoch 33/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5533 - dense_4_loss_1: 0.0071 - dense_4_loss_2: 0.0025 - dense_4_loss_3: 0.0380 - dense_4_loss_4: 0.0703 - dense_4_loss_5: 0.0016 - dense_4_loss_6: 0.0319 - dense_4_loss_7: 0.1437 - dense_4_loss_8: 0.0015 - dense_4_loss_9: 0.0935 - dense_4_loss_10: 0.1633 - dense_4_acc_1: 0.9987 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9946 - dense_4_acc_4: 0.9987 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9889 - dense_4_acc_7: 0.9591 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9793 - dense_4_acc_10: 0.9546    \n",
      "Epoch 34/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5358 - dense_4_loss_1: 0.0067 - dense_4_loss_2: 0.0023 - dense_4_loss_3: 0.0364 - dense_4_loss_4: 0.0674 - dense_4_loss_5: 0.0016 - dense_4_loss_6: 0.0309 - dense_4_loss_7: 0.1405 - dense_4_loss_8: 0.0015 - dense_4_loss_9: 0.0895 - dense_4_loss_10: 0.1590 - dense_4_acc_1: 0.9989 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9950 - dense_4_acc_4: 0.9986 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9895 - dense_4_acc_7: 0.9599 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9814 - dense_4_acc_10: 0.9578    \n",
      "Epoch 35/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5247 - dense_4_loss_1: 0.0066 - dense_4_loss_2: 0.0023 - dense_4_loss_3: 0.0353 - dense_4_loss_4: 0.0650 - dense_4_loss_5: 0.0015 - dense_4_loss_6: 0.0311 - dense_4_loss_7: 0.1382 - dense_4_loss_8: 0.0015 - dense_4_loss_9: 0.0876 - dense_4_loss_10: 0.1554 - dense_4_acc_1: 0.9989 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9950 - dense_4_acc_4: 0.9987 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9895 - dense_4_acc_7: 0.9607 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9819 - dense_4_acc_10: 0.9602    \n",
      "Epoch 36/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5101 - dense_4_loss_1: 0.0064 - dense_4_loss_2: 0.0022 - dense_4_loss_3: 0.0342 - dense_4_loss_4: 0.0626 - dense_4_loss_5: 0.0015 - dense_4_loss_6: 0.0300 - dense_4_loss_7: 0.1363 - dense_4_loss_8: 0.0014 - dense_4_loss_9: 0.0839 - dense_4_loss_10: 0.1516 - dense_4_acc_1: 0.9989 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9952 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9893 - dense_4_acc_7: 0.9611 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9822 - dense_4_acc_10: 0.9607    \n",
      "Epoch 37/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.5001 - dense_4_loss_1: 0.0063 - dense_4_loss_2: 0.0022 - dense_4_loss_3: 0.0328 - dense_4_loss_4: 0.0609 - dense_4_loss_5: 0.0014 - dense_4_loss_6: 0.0298 - dense_4_loss_7: 0.1352 - dense_4_loss_8: 0.0014 - dense_4_loss_9: 0.0826 - dense_4_loss_10: 0.1476 - dense_4_acc_1: 0.9990 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9961 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9892 - dense_4_acc_7: 0.9610 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9833 - dense_4_acc_10: 0.9616    \n",
      "Epoch 38/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4854 - dense_4_loss_1: 0.0061 - dense_4_loss_2: 0.0021 - dense_4_loss_3: 0.0316 - dense_4_loss_4: 0.0588 - dense_4_loss_5: 0.0014 - dense_4_loss_6: 0.0291 - dense_4_loss_7: 0.1319 - dense_4_loss_8: 0.0013 - dense_4_loss_9: 0.0793 - dense_4_loss_10: 0.1439 - dense_4_acc_1: 0.9993 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9963 - dense_4_acc_4: 0.9988 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9901 - dense_4_acc_7: 0.9625 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9842 - dense_4_acc_10: 0.9635    \n",
      "Epoch 39/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.4782 - dense_4_loss_1: 0.0059 - dense_4_loss_2: 0.0020 - dense_4_loss_3: 0.0309 - dense_4_loss_4: 0.0571 - dense_4_loss_5: 0.0013 - dense_4_loss_6: 0.0287 - dense_4_loss_7: 0.1321 - dense_4_loss_8: 0.0014 - dense_4_loss_9: 0.0781 - dense_4_loss_10: 0.1407 - dense_4_acc_1: 0.9991 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9962 - dense_4_acc_4: 0.9989 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9902 - dense_4_acc_7: 0.9621 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9835 - dense_4_acc_10: 0.9647    \n",
      "Epoch 40/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4644 - dense_4_loss_1: 0.0058 - dense_4_loss_2: 0.0020 - dense_4_loss_3: 0.0296 - dense_4_loss_4: 0.0553 - dense_4_loss_5: 0.0013 - dense_4_loss_6: 0.0282 - dense_4_loss_7: 0.1281 - dense_4_loss_8: 0.0013 - dense_4_loss_9: 0.0755 - dense_4_loss_10: 0.1373 - dense_4_acc_1: 0.9991 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9967 - dense_4_acc_4: 0.9988 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9902 - dense_4_acc_7: 0.9649 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9855 - dense_4_acc_10: 0.9656    \n",
      "Epoch 41/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4571 - dense_4_loss_1: 0.0055 - dense_4_loss_2: 0.0019 - dense_4_loss_3: 0.0287 - dense_4_loss_4: 0.0535 - dense_4_loss_5: 0.0012 - dense_4_loss_6: 0.0287 - dense_4_loss_7: 0.1286 - dense_4_loss_8: 0.0013 - dense_4_loss_9: 0.0740 - dense_4_loss_10: 0.1337 - dense_4_acc_1: 0.9992 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9965 - dense_4_acc_4: 0.9991 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9906 - dense_4_acc_7: 0.9631 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9860 - dense_4_acc_10: 0.9671    \n",
      "Epoch 42/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4466 - dense_4_loss_1: 0.0055 - dense_4_loss_2: 0.0019 - dense_4_loss_3: 0.0279 - dense_4_loss_4: 0.0522 - dense_4_loss_5: 0.0012 - dense_4_loss_6: 0.0276 - dense_4_loss_7: 0.1262 - dense_4_loss_8: 0.0012 - dense_4_loss_9: 0.0724 - dense_4_loss_10: 0.1304 - dense_4_acc_1: 0.9992 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9970 - dense_4_acc_4: 0.9991 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9906 - dense_4_acc_7: 0.9629 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9855 - dense_4_acc_10: 0.9676    \n",
      "Epoch 43/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4372 - dense_4_loss_1: 0.0054 - dense_4_loss_2: 0.0018 - dense_4_loss_3: 0.0273 - dense_4_loss_4: 0.0507 - dense_4_loss_5: 0.0012 - dense_4_loss_6: 0.0269 - dense_4_loss_7: 0.1247 - dense_4_loss_8: 0.0012 - dense_4_loss_9: 0.0696 - dense_4_loss_10: 0.1283 - dense_4_acc_1: 0.9992 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9969 - dense_4_acc_4: 0.9989 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9912 - dense_4_acc_7: 0.9647 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9871 - dense_4_acc_10: 0.9677    \n",
      "Epoch 44/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.4282 - dense_4_loss_1: 0.0053 - dense_4_loss_2: 0.0018 - dense_4_loss_3: 0.0263 - dense_4_loss_4: 0.0497 - dense_4_loss_5: 0.0011 - dense_4_loss_6: 0.0264 - dense_4_loss_7: 0.1230 - dense_4_loss_8: 0.0012 - dense_4_loss_9: 0.0688 - dense_4_loss_10: 0.1246 - dense_4_acc_1: 0.9990 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9972 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9910 - dense_4_acc_7: 0.9645 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9865 - dense_4_acc_10: 0.9712    \n",
      "Epoch 45/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.4197 - dense_4_loss_1: 0.0051 - dense_4_loss_2: 0.0017 - dense_4_loss_3: 0.0253 - dense_4_loss_4: 0.0482 - dense_4_loss_5: 0.0011 - dense_4_loss_6: 0.0265 - dense_4_loss_7: 0.1210 - dense_4_loss_8: 0.0012 - dense_4_loss_9: 0.0676 - dense_4_loss_10: 0.1220 - dense_4_acc_1: 0.9992 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9976 - dense_4_acc_4: 0.9989 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9907 - dense_4_acc_7: 0.9641 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9875 - dense_4_acc_10: 0.9713    \n",
      "Epoch 46/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.4121 - dense_4_loss_1: 0.0050 - dense_4_loss_2: 0.0017 - dense_4_loss_3: 0.0250 - dense_4_loss_4: 0.0467 - dense_4_loss_5: 0.0011 - dense_4_loss_6: 0.0265 - dense_4_loss_7: 0.1208 - dense_4_loss_8: 0.0011 - dense_4_loss_9: 0.0653 - dense_4_loss_10: 0.1189 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9977 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9912 - dense_4_acc_7: 0.9655 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9869 - dense_4_acc_10: 0.9720    \n",
      "Epoch 47/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.4033 - dense_4_loss_1: 0.0049 - dense_4_loss_2: 0.0016 - dense_4_loss_3: 0.0242 - dense_4_loss_4: 0.0459 - dense_4_loss_5: 0.0011 - dense_4_loss_6: 0.0256 - dense_4_loss_7: 0.1184 - dense_4_loss_8: 0.0011 - dense_4_loss_9: 0.0639 - dense_4_loss_10: 0.1166 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9977 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9907 - dense_4_acc_7: 0.9653 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9880 - dense_4_acc_10: 0.9720    \n",
      "Epoch 48/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3954 - dense_4_loss_1: 0.0048 - dense_4_loss_2: 0.0016 - dense_4_loss_3: 0.0234 - dense_4_loss_4: 0.0447 - dense_4_loss_5: 0.0010 - dense_4_loss_6: 0.0253 - dense_4_loss_7: 0.1171 - dense_4_loss_8: 0.0011 - dense_4_loss_9: 0.0622 - dense_4_loss_10: 0.1141 - dense_4_acc_1: 0.9994 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9977 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9911 - dense_4_acc_7: 0.9648 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9885 - dense_4_acc_10: 0.9738    \n",
      "Epoch 49/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3900 - dense_4_loss_1: 0.0047 - dense_4_loss_2: 0.0015 - dense_4_loss_3: 0.0229 - dense_4_loss_4: 0.0435 - dense_4_loss_5: 0.0010 - dense_4_loss_6: 0.0253 - dense_4_loss_7: 0.1160 - dense_4_loss_8: 0.0011 - dense_4_loss_9: 0.0617 - dense_4_loss_10: 0.1123 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9979 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9909 - dense_4_acc_7: 0.9655 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9878 - dense_4_acc_10: 0.9744    \n",
      "Epoch 50/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3834 - dense_4_loss_1: 0.0046 - dense_4_loss_2: 0.0015 - dense_4_loss_3: 0.0223 - dense_4_loss_4: 0.0428 - dense_4_loss_5: 9.7380e-04 - dense_4_loss_6: 0.0249 - dense_4_loss_7: 0.1144 - dense_4_loss_8: 0.0010 - dense_4_loss_9: 0.0600 - dense_4_loss_10: 0.1109 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9978 - dense_4_acc_4: 0.9991 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9917 - dense_4_acc_7: 0.9664 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9885 - dense_4_acc_10: 0.9742    \n",
      "Epoch 51/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3749 - dense_4_loss_1: 0.0045 - dense_4_loss_2: 0.0015 - dense_4_loss_3: 0.0220 - dense_4_loss_4: 0.0416 - dense_4_loss_5: 9.6093e-04 - dense_4_loss_6: 0.0249 - dense_4_loss_7: 0.1131 - dense_4_loss_8: 9.9136e-04 - dense_4_loss_9: 0.0581 - dense_4_loss_10: 0.1072 - dense_4_acc_1: 0.9996 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9979 - dense_4_acc_4: 0.9989 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9909 - dense_4_acc_7: 0.9658 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9894 - dense_4_acc_10: 0.9759    \n",
      "Epoch 52/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3694 - dense_4_loss_1: 0.0045 - dense_4_loss_2: 0.0015 - dense_4_loss_3: 0.0211 - dense_4_loss_4: 0.0408 - dense_4_loss_5: 9.3792e-04 - dense_4_loss_6: 0.0243 - dense_4_loss_7: 0.1126 - dense_4_loss_8: 9.8236e-04 - dense_4_loss_9: 0.0583 - dense_4_loss_10: 0.1045 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9983 - dense_4_acc_4: 0.9990 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9914 - dense_4_acc_7: 0.9664 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9883 - dense_4_acc_10: 0.9762    \n",
      "Epoch 53/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3648 - dense_4_loss_1: 0.0043 - dense_4_loss_2: 0.0014 - dense_4_loss_3: 0.0208 - dense_4_loss_4: 0.0397 - dense_4_loss_5: 9.0989e-04 - dense_4_loss_6: 0.0243 - dense_4_loss_7: 0.1115 - dense_4_loss_8: 9.6804e-04 - dense_4_loss_9: 0.0567 - dense_4_loss_10: 0.1042 - dense_4_acc_1: 0.9996 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9983 - dense_4_acc_4: 0.9993 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9915 - dense_4_acc_7: 0.9676 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9896 - dense_4_acc_10: 0.9760    \n",
      "Epoch 54/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3595 - dense_4_loss_1: 0.0042 - dense_4_loss_2: 0.0014 - dense_4_loss_3: 0.0202 - dense_4_loss_4: 0.0388 - dense_4_loss_5: 8.7219e-04 - dense_4_loss_6: 0.0244 - dense_4_loss_7: 0.1110 - dense_4_loss_8: 9.4439e-04 - dense_4_loss_9: 0.0562 - dense_4_loss_10: 0.1015 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9985 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9915 - dense_4_acc_7: 0.9676 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9892 - dense_4_acc_10: 0.9770    \n",
      "Epoch 55/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3510 - dense_4_loss_1: 0.0043 - dense_4_loss_2: 0.0014 - dense_4_loss_3: 0.0199 - dense_4_loss_4: 0.0381 - dense_4_loss_5: 8.5719e-04 - dense_4_loss_6: 0.0237 - dense_4_loss_7: 0.1085 - dense_4_loss_8: 9.3889e-04 - dense_4_loss_9: 0.0542 - dense_4_loss_10: 0.0991 - dense_4_acc_1: 0.9994 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9982 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9919 - dense_4_acc_7: 0.9678 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9897 - dense_4_acc_10: 0.9780    \n",
      "Epoch 56/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3456 - dense_4_loss_1: 0.0041 - dense_4_loss_2: 0.0013 - dense_4_loss_3: 0.0192 - dense_4_loss_4: 0.0373 - dense_4_loss_5: 8.5386e-04 - dense_4_loss_6: 0.0236 - dense_4_loss_7: 0.1074 - dense_4_loss_8: 9.0756e-04 - dense_4_loss_9: 0.0540 - dense_4_loss_10: 0.0969 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9983 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9920 - dense_4_acc_7: 0.9686 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9891 - dense_4_acc_10: 0.9779    \n",
      "Epoch 57/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.3392 - dense_4_loss_1: 0.0040 - dense_4_loss_2: 0.0013 - dense_4_loss_3: 0.0188 - dense_4_loss_4: 0.0364 - dense_4_loss_5: 8.0250e-04 - dense_4_loss_6: 0.0227 - dense_4_loss_7: 0.1068 - dense_4_loss_8: 8.7852e-04 - dense_4_loss_9: 0.0523 - dense_4_loss_10: 0.0952 - dense_4_acc_1: 0.9996 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9985 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9927 - dense_4_acc_7: 0.9681 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9899 - dense_4_acc_10: 0.9798    \n",
      "Epoch 58/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3372 - dense_4_loss_1: 0.0040 - dense_4_loss_2: 0.0013 - dense_4_loss_3: 0.0184 - dense_4_loss_4: 0.0359 - dense_4_loss_5: 7.9302e-04 - dense_4_loss_6: 0.0232 - dense_4_loss_7: 0.1066 - dense_4_loss_8: 8.7493e-04 - dense_4_loss_9: 0.0519 - dense_4_loss_10: 0.0941 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9984 - dense_4_acc_4: 0.9993 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9914 - dense_4_acc_7: 0.9678 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9906 - dense_4_acc_10: 0.9789    \n",
      "Epoch 59/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3293 - dense_4_loss_1: 0.0039 - dense_4_loss_2: 0.0012 - dense_4_loss_3: 0.0182 - dense_4_loss_4: 0.0352 - dense_4_loss_5: 7.9116e-04 - dense_4_loss_6: 0.0227 - dense_4_loss_7: 0.1041 - dense_4_loss_8: 8.5517e-04 - dense_4_loss_9: 0.0501 - dense_4_loss_10: 0.0921 - dense_4_acc_1: 0.9996 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9985 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9919 - dense_4_acc_7: 0.9688 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9909 - dense_4_acc_10: 0.9786    \n",
      "Epoch 60/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3247 - dense_4_loss_1: 0.0039 - dense_4_loss_2: 0.0013 - dense_4_loss_3: 0.0177 - dense_4_loss_4: 0.0344 - dense_4_loss_5: 7.4692e-04 - dense_4_loss_6: 0.0222 - dense_4_loss_7: 0.1038 - dense_4_loss_8: 8.3986e-04 - dense_4_loss_9: 0.0497 - dense_4_loss_10: 0.0902 - dense_4_acc_1: 0.9995 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9985 - dense_4_acc_4: 0.9991 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9923 - dense_4_acc_7: 0.9697 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9906 - dense_4_acc_10: 0.9793    \n",
      "Epoch 61/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3204 - dense_4_loss_1: 0.0038 - dense_4_loss_2: 0.0012 - dense_4_loss_3: 0.0173 - dense_4_loss_4: 0.0337 - dense_4_loss_5: 7.5391e-04 - dense_4_loss_6: 0.0217 - dense_4_loss_7: 0.1030 - dense_4_loss_8: 8.2519e-04 - dense_4_loss_9: 0.0498 - dense_4_loss_10: 0.0884 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9987 - dense_4_acc_4: 0.9991 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9926 - dense_4_acc_7: 0.9691 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9899 - dense_4_acc_10: 0.9799    \n",
      "Epoch 62/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3155 - dense_4_loss_1: 0.0038 - dense_4_loss_2: 0.0012 - dense_4_loss_3: 0.0170 - dense_4_loss_4: 0.0330 - dense_4_loss_5: 7.2253e-04 - dense_4_loss_6: 0.0220 - dense_4_loss_7: 0.1011 - dense_4_loss_8: 8.1163e-04 - dense_4_loss_9: 0.0485 - dense_4_loss_10: 0.0874 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9989 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9925 - dense_4_acc_7: 0.9695 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9910 - dense_4_acc_10: 0.9803    \n",
      "Epoch 63/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3105 - dense_4_loss_1: 0.0037 - dense_4_loss_2: 0.0012 - dense_4_loss_3: 0.0165 - dense_4_loss_4: 0.0323 - dense_4_loss_5: 7.0911e-04 - dense_4_loss_6: 0.0214 - dense_4_loss_7: 0.1001 - dense_4_loss_8: 7.7334e-04 - dense_4_loss_9: 0.0473 - dense_4_loss_10: 0.0864 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9988 - dense_4_acc_4: 0.9995 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9927 - dense_4_acc_7: 0.9704 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9905 - dense_4_acc_10: 0.9799    \n",
      "Epoch 64/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3059 - dense_4_loss_1: 0.0037 - dense_4_loss_2: 0.0012 - dense_4_loss_3: 0.0163 - dense_4_loss_4: 0.0319 - dense_4_loss_5: 6.9497e-04 - dense_4_loss_6: 0.0209 - dense_4_loss_7: 0.0996 - dense_4_loss_8: 7.8178e-04 - dense_4_loss_9: 0.0465 - dense_4_loss_10: 0.0843 - dense_4_acc_1: 0.9996 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9986 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9931 - dense_4_acc_7: 0.9697 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9912 - dense_4_acc_10: 0.9805    \n",
      "Epoch 65/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.3021 - dense_4_loss_1: 0.0036 - dense_4_loss_2: 0.0011 - dense_4_loss_3: 0.0161 - dense_4_loss_4: 0.0314 - dense_4_loss_5: 6.6990e-04 - dense_4_loss_6: 0.0211 - dense_4_loss_7: 0.0985 - dense_4_loss_8: 7.2599e-04 - dense_4_loss_9: 0.0463 - dense_4_loss_10: 0.0826 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9988 - dense_4_acc_4: 0.9993 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9921 - dense_4_acc_7: 0.9711 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9902 - dense_4_acc_10: 0.9819    \n",
      "Epoch 66/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2967 - dense_4_loss_1: 0.0035 - dense_4_loss_2: 0.0011 - dense_4_loss_3: 0.0155 - dense_4_loss_4: 0.0306 - dense_4_loss_5: 6.5253e-04 - dense_4_loss_6: 0.0205 - dense_4_loss_7: 0.0978 - dense_4_loss_8: 7.4728e-04 - dense_4_loss_9: 0.0448 - dense_4_loss_10: 0.0815 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9988 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9927 - dense_4_acc_7: 0.9696 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9913 - dense_4_acc_10: 0.9816    \n",
      "Epoch 67/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2936 - dense_4_loss_1: 0.0035 - dense_4_loss_2: 0.0011 - dense_4_loss_3: 0.0155 - dense_4_loss_4: 0.0304 - dense_4_loss_5: 6.3866e-04 - dense_4_loss_6: 0.0203 - dense_4_loss_7: 0.0974 - dense_4_loss_8: 7.1268e-04 - dense_4_loss_9: 0.0444 - dense_4_loss_10: 0.0796 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9989 - dense_4_acc_4: 0.9992 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9930 - dense_4_acc_7: 0.9701 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9911 - dense_4_acc_10: 0.9820    \n",
      "Epoch 68/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2902 - dense_4_loss_1: 0.0035 - dense_4_loss_2: 0.0011 - dense_4_loss_3: 0.0151 - dense_4_loss_4: 0.0297 - dense_4_loss_5: 6.1623e-04 - dense_4_loss_6: 0.0204 - dense_4_loss_7: 0.0960 - dense_4_loss_8: 6.9616e-04 - dense_4_loss_9: 0.0443 - dense_4_loss_10: 0.0789 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9990 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9933 - dense_4_acc_7: 0.9713 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9911 - dense_4_acc_10: 0.9815    \n",
      "Epoch 69/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2872 - dense_4_loss_1: 0.0035 - dense_4_loss_2: 0.0011 - dense_4_loss_3: 0.0149 - dense_4_loss_4: 0.0292 - dense_4_loss_5: 6.2193e-04 - dense_4_loss_6: 0.0201 - dense_4_loss_7: 0.0959 - dense_4_loss_8: 6.9671e-04 - dense_4_loss_9: 0.0436 - dense_4_loss_10: 0.0777 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 0.9999 - dense_4_acc_3: 0.9988 - dense_4_acc_4: 0.9995 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9929 - dense_4_acc_7: 0.9722 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9910 - dense_4_acc_10: 0.9830    \n",
      "Epoch 70/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2832 - dense_4_loss_1: 0.0033 - dense_4_loss_2: 0.0010 - dense_4_loss_3: 0.0146 - dense_4_loss_4: 0.0289 - dense_4_loss_5: 5.9220e-04 - dense_4_loss_6: 0.0201 - dense_4_loss_7: 0.0945 - dense_4_loss_8: 6.7014e-04 - dense_4_loss_9: 0.0433 - dense_4_loss_10: 0.0762 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9991 - dense_4_acc_4: 0.9995 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9933 - dense_4_acc_7: 0.9729 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9914 - dense_4_acc_10: 0.9830    \n",
      "Epoch 71/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2782 - dense_4_loss_1: 0.0033 - dense_4_loss_2: 0.0010 - dense_4_loss_3: 0.0143 - dense_4_loss_4: 0.0283 - dense_4_loss_5: 5.8566e-04 - dense_4_loss_6: 0.0196 - dense_4_loss_7: 0.0935 - dense_4_loss_8: 6.6220e-04 - dense_4_loss_9: 0.0420 - dense_4_loss_10: 0.0749 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9990 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9936 - dense_4_acc_7: 0.9719 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9920 - dense_4_acc_10: 0.9835    \n",
      "Epoch 72/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2753 - dense_4_loss_1: 0.0033 - dense_4_loss_2: 0.0010 - dense_4_loss_3: 0.0142 - dense_4_loss_4: 0.0279 - dense_4_loss_5: 5.6428e-04 - dense_4_loss_6: 0.0191 - dense_4_loss_7: 0.0927 - dense_4_loss_8: 6.5198e-04 - dense_4_loss_9: 0.0417 - dense_4_loss_10: 0.0742 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9989 - dense_4_acc_4: 0.9993 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9931 - dense_4_acc_7: 0.9723 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9923 - dense_4_acc_10: 0.9832    \n",
      "Epoch 73/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2720 - dense_4_loss_1: 0.0032 - dense_4_loss_2: 0.0010 - dense_4_loss_3: 0.0139 - dense_4_loss_4: 0.0275 - dense_4_loss_5: 5.6551e-04 - dense_4_loss_6: 0.0193 - dense_4_loss_7: 0.0924 - dense_4_loss_8: 6.2755e-04 - dense_4_loss_9: 0.0407 - dense_4_loss_10: 0.0727 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9938 - dense_4_acc_7: 0.9731 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9920 - dense_4_acc_10: 0.9832    \n",
      "Epoch 74/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2687 - dense_4_loss_1: 0.0032 - dense_4_loss_2: 0.0010 - dense_4_loss_3: 0.0136 - dense_4_loss_4: 0.0271 - dense_4_loss_5: 5.4655e-04 - dense_4_loss_6: 0.0192 - dense_4_loss_7: 0.0915 - dense_4_loss_8: 6.4522e-04 - dense_4_loss_9: 0.0404 - dense_4_loss_10: 0.0715 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9995 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9938 - dense_4_acc_7: 0.9728 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9923 - dense_4_acc_10: 0.9837    \n",
      "Epoch 75/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2658 - dense_4_loss_1: 0.0032 - dense_4_loss_2: 9.7144e-04 - dense_4_loss_3: 0.0135 - dense_4_loss_4: 0.0268 - dense_4_loss_5: 5.3713e-04 - dense_4_loss_6: 0.0190 - dense_4_loss_7: 0.0910 - dense_4_loss_8: 6.1631e-04 - dense_4_loss_9: 0.0396 - dense_4_loss_10: 0.0706 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9934 - dense_4_acc_7: 0.9727 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9921 - dense_4_acc_10: 0.9834    \n",
      "Epoch 76/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2616 - dense_4_loss_1: 0.0031 - dense_4_loss_2: 9.5970e-04 - dense_4_loss_3: 0.0131 - dense_4_loss_4: 0.0262 - dense_4_loss_5: 5.2667e-04 - dense_4_loss_6: 0.0186 - dense_4_loss_7: 0.0897 - dense_4_loss_8: 5.9197e-04 - dense_4_loss_9: 0.0392 - dense_4_loss_10: 0.0696 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9995 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9935 - dense_4_acc_7: 0.9734 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9921 - dense_4_acc_10: 0.9837    \n",
      "Epoch 77/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2601 - dense_4_loss_1: 0.0031 - dense_4_loss_2: 9.5136e-04 - dense_4_loss_3: 0.0130 - dense_4_loss_4: 0.0259 - dense_4_loss_5: 5.1635e-04 - dense_4_loss_6: 0.0188 - dense_4_loss_7: 0.0895 - dense_4_loss_8: 5.8894e-04 - dense_4_loss_9: 0.0391 - dense_4_loss_10: 0.0686 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9994 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9943 - dense_4_acc_7: 0.9736 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9924 - dense_4_acc_10: 0.9844    \n",
      "Epoch 78/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2566 - dense_4_loss_1: 0.0030 - dense_4_loss_2: 9.1787e-04 - dense_4_loss_3: 0.0128 - dense_4_loss_4: 0.0257 - dense_4_loss_5: 4.9982e-04 - dense_4_loss_6: 0.0181 - dense_4_loss_7: 0.0888 - dense_4_loss_8: 5.8946e-04 - dense_4_loss_9: 0.0385 - dense_4_loss_10: 0.0678 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9993 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9946 - dense_4_acc_7: 0.9737 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9927 - dense_4_acc_10: 0.9842    \n",
      "Epoch 79/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2534 - dense_4_loss_1: 0.0030 - dense_4_loss_2: 9.4330e-04 - dense_4_loss_3: 0.0127 - dense_4_loss_4: 0.0252 - dense_4_loss_5: 4.8564e-04 - dense_4_loss_6: 0.0182 - dense_4_loss_7: 0.0880 - dense_4_loss_8: 5.6769e-04 - dense_4_loss_9: 0.0378 - dense_4_loss_10: 0.0663 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9990 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9938 - dense_4_acc_7: 0.9738 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9930 - dense_4_acc_10: 0.9849    \n",
      "Epoch 80/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2508 - dense_4_loss_1: 0.0030 - dense_4_loss_2: 9.0577e-04 - dense_4_loss_3: 0.0124 - dense_4_loss_4: 0.0248 - dense_4_loss_5: 4.7261e-04 - dense_4_loss_6: 0.0179 - dense_4_loss_7: 0.0874 - dense_4_loss_8: 5.4486e-04 - dense_4_loss_9: 0.0377 - dense_4_loss_10: 0.0658 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9938 - dense_4_acc_7: 0.9747 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9924 - dense_4_acc_10: 0.9853    \n",
      "Epoch 81/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2469 - dense_4_loss_1: 0.0029 - dense_4_loss_2: 9.2385e-04 - dense_4_loss_3: 0.0121 - dense_4_loss_4: 0.0244 - dense_4_loss_5: 4.6614e-04 - dense_4_loss_6: 0.0178 - dense_4_loss_7: 0.0861 - dense_4_loss_8: 5.4076e-04 - dense_4_loss_9: 0.0368 - dense_4_loss_10: 0.0647 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9991 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9944 - dense_4_acc_7: 0.9747 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9927 - dense_4_acc_10: 0.9853    \n",
      "Epoch 82/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2463 - dense_4_loss_1: 0.0029 - dense_4_loss_2: 8.6104e-04 - dense_4_loss_3: 0.0120 - dense_4_loss_4: 0.0244 - dense_4_loss_5: 4.5295e-04 - dense_4_loss_6: 0.0179 - dense_4_loss_7: 0.0865 - dense_4_loss_8: 5.3549e-04 - dense_4_loss_9: 0.0366 - dense_4_loss_10: 0.0641 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9937 - dense_4_acc_7: 0.9749 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9925 - dense_4_acc_10: 0.9853    \n",
      "Epoch 83/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2423 - dense_4_loss_1: 0.0029 - dense_4_loss_2: 8.6394e-04 - dense_4_loss_3: 0.0120 - dense_4_loss_4: 0.0239 - dense_4_loss_5: 4.5655e-04 - dense_4_loss_6: 0.0175 - dense_4_loss_7: 0.0850 - dense_4_loss_8: 5.1721e-04 - dense_4_loss_9: 0.0364 - dense_4_loss_10: 0.0628 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9936 - dense_4_acc_7: 0.9746 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9928 - dense_4_acc_10: 0.9851    \n",
      "Epoch 84/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.2388 - dense_4_loss_1: 0.0029 - dense_4_loss_2: 8.7792e-04 - dense_4_loss_3: 0.0117 - dense_4_loss_4: 0.0235 - dense_4_loss_5: 4.4711e-04 - dense_4_loss_6: 0.0176 - dense_4_loss_7: 0.0840 - dense_4_loss_8: 5.1512e-04 - dense_4_loss_9: 0.0354 - dense_4_loss_10: 0.0620 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9942 - dense_4_acc_7: 0.9747 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9926 - dense_4_acc_10: 0.9858    \n",
      "Epoch 85/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2370 - dense_4_loss_1: 0.0028 - dense_4_loss_2: 8.4865e-04 - dense_4_loss_3: 0.0116 - dense_4_loss_4: 0.0232 - dense_4_loss_5: 4.3372e-04 - dense_4_loss_6: 0.0174 - dense_4_loss_7: 0.0833 - dense_4_loss_8: 5.0847e-04 - dense_4_loss_9: 0.0354 - dense_4_loss_10: 0.0615 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9940 - dense_4_acc_7: 0.9742 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9928 - dense_4_acc_10: 0.9865    \n",
      "Epoch 86/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2345 - dense_4_loss_1: 0.0028 - dense_4_loss_2: 8.6560e-04 - dense_4_loss_3: 0.0113 - dense_4_loss_4: 0.0228 - dense_4_loss_5: 4.2407e-04 - dense_4_loss_6: 0.0171 - dense_4_loss_7: 0.0829 - dense_4_loss_8: 4.8818e-04 - dense_4_loss_9: 0.0353 - dense_4_loss_10: 0.0607 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9945 - dense_4_acc_7: 0.9753 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9927 - dense_4_acc_10: 0.9867    \n",
      "Epoch 87/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2313 - dense_4_loss_1: 0.0028 - dense_4_loss_2: 8.4346e-04 - dense_4_loss_3: 0.0112 - dense_4_loss_4: 0.0225 - dense_4_loss_5: 4.0938e-04 - dense_4_loss_6: 0.0168 - dense_4_loss_7: 0.0821 - dense_4_loss_8: 5.0241e-04 - dense_4_loss_9: 0.0344 - dense_4_loss_10: 0.0597 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9944 - dense_4_acc_7: 0.9757 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9931 - dense_4_acc_10: 0.9869    \n",
      "Epoch 88/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2285 - dense_4_loss_1: 0.0027 - dense_4_loss_2: 8.3514e-04 - dense_4_loss_3: 0.0110 - dense_4_loss_4: 0.0224 - dense_4_loss_5: 4.1341e-04 - dense_4_loss_6: 0.0163 - dense_4_loss_7: 0.0814 - dense_4_loss_8: 4.8108e-04 - dense_4_loss_9: 0.0338 - dense_4_loss_10: 0.0590 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9992 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9945 - dense_4_acc_7: 0.9765 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9935 - dense_4_acc_10: 0.9870    \n",
      "Epoch 89/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2273 - dense_4_loss_1: 0.0027 - dense_4_loss_2: 8.2511e-04 - dense_4_loss_3: 0.0109 - dense_4_loss_4: 0.0221 - dense_4_loss_5: 3.9608e-04 - dense_4_loss_6: 0.0164 - dense_4_loss_7: 0.0816 - dense_4_loss_8: 4.6349e-04 - dense_4_loss_9: 0.0335 - dense_4_loss_10: 0.0585 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9940 - dense_4_acc_7: 0.9757 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9930 - dense_4_acc_10: 0.9871    \n",
      "Epoch 90/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2266 - dense_4_loss_1: 0.0027 - dense_4_loss_2: 8.0491e-04 - dense_4_loss_3: 0.0107 - dense_4_loss_4: 0.0219 - dense_4_loss_5: 3.8951e-04 - dense_4_loss_6: 0.0166 - dense_4_loss_7: 0.0815 - dense_4_loss_8: 4.6566e-04 - dense_4_loss_9: 0.0333 - dense_4_loss_10: 0.0581 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9948 - dense_4_acc_7: 0.9765 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9933 - dense_4_acc_10: 0.9873    \n",
      "Epoch 91/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2227 - dense_4_loss_1: 0.0026 - dense_4_loss_2: 8.0979e-04 - dense_4_loss_3: 0.0105 - dense_4_loss_4: 0.0215 - dense_4_loss_5: 3.8032e-04 - dense_4_loss_6: 0.0163 - dense_4_loss_7: 0.0799 - dense_4_loss_8: 4.5369e-04 - dense_4_loss_9: 0.0332 - dense_4_loss_10: 0.0571 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9946 - dense_4_acc_7: 0.9767 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9925 - dense_4_acc_10: 0.9864    \n",
      "Epoch 92/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2204 - dense_4_loss_1: 0.0026 - dense_4_loss_2: 8.0348e-04 - dense_4_loss_3: 0.0104 - dense_4_loss_4: 0.0212 - dense_4_loss_5: 3.8777e-04 - dense_4_loss_6: 0.0160 - dense_4_loss_7: 0.0796 - dense_4_loss_8: 4.4334e-04 - dense_4_loss_9: 0.0329 - dense_4_loss_10: 0.0561 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9949 - dense_4_acc_7: 0.9766 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9932 - dense_4_acc_10: 0.9877    \n",
      "Epoch 93/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2192 - dense_4_loss_1: 0.0026 - dense_4_loss_2: 7.7747e-04 - dense_4_loss_3: 0.0103 - dense_4_loss_4: 0.0210 - dense_4_loss_5: 3.6694e-04 - dense_4_loss_6: 0.0159 - dense_4_loss_7: 0.0793 - dense_4_loss_8: 4.5224e-04 - dense_4_loss_9: 0.0324 - dense_4_loss_10: 0.0561 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9947 - dense_4_acc_7: 0.9770 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9934 - dense_4_acc_10: 0.9873    \n",
      "Epoch 94/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2151 - dense_4_loss_1: 0.0026 - dense_4_loss_2: 8.0102e-04 - dense_4_loss_3: 0.0101 - dense_4_loss_4: 0.0208 - dense_4_loss_5: 3.5971e-04 - dense_4_loss_6: 0.0157 - dense_4_loss_7: 0.0778 - dense_4_loss_8: 4.2001e-04 - dense_4_loss_9: 0.0317 - dense_4_loss_10: 0.0547 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9958 - dense_4_acc_7: 0.9779 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9882    \n",
      "Epoch 95/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2145 - dense_4_loss_1: 0.0026 - dense_4_loss_2: 7.6578e-04 - dense_4_loss_3: 0.0100 - dense_4_loss_4: 0.0206 - dense_4_loss_5: 3.6385e-04 - dense_4_loss_6: 0.0157 - dense_4_loss_7: 0.0787 - dense_4_loss_8: 4.3443e-04 - dense_4_loss_9: 0.0313 - dense_4_loss_10: 0.0542 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9953 - dense_4_acc_7: 0.9761 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9937 - dense_4_acc_10: 0.9879    \n",
      "Epoch 96/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2126 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.7031e-04 - dense_4_loss_3: 0.0099 - dense_4_loss_4: 0.0204 - dense_4_loss_5: 3.4725e-04 - dense_4_loss_6: 0.0159 - dense_4_loss_7: 0.0774 - dense_4_loss_8: 4.0784e-04 - dense_4_loss_9: 0.0315 - dense_4_loss_10: 0.0535 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9948 - dense_4_acc_7: 0.9777 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9934 - dense_4_acc_10: 0.9886    \n",
      "Epoch 97/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2095 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.5596e-04 - dense_4_loss_3: 0.0097 - dense_4_loss_4: 0.0202 - dense_4_loss_5: 3.4467e-04 - dense_4_loss_6: 0.0153 - dense_4_loss_7: 0.0762 - dense_4_loss_8: 4.1327e-04 - dense_4_loss_9: 0.0307 - dense_4_loss_10: 0.0533 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9946 - dense_4_acc_7: 0.9777 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9940 - dense_4_acc_10: 0.9882    \n",
      "Epoch 98/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2070 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.6028e-04 - dense_4_loss_3: 0.0097 - dense_4_loss_4: 0.0199 - dense_4_loss_5: 3.3980e-04 - dense_4_loss_6: 0.0152 - dense_4_loss_7: 0.0753 - dense_4_loss_8: 3.9810e-04 - dense_4_loss_9: 0.0305 - dense_4_loss_10: 0.0524 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9952 - dense_4_acc_7: 0.9775 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9936 - dense_4_acc_10: 0.9892    \n",
      "Epoch 99/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2064 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.5257e-04 - dense_4_loss_3: 0.0096 - dense_4_loss_4: 0.0196 - dense_4_loss_5: 3.2626e-04 - dense_4_loss_6: 0.0151 - dense_4_loss_7: 0.0757 - dense_4_loss_8: 4.0170e-04 - dense_4_loss_9: 0.0300 - dense_4_loss_10: 0.0525 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9956 - dense_4_acc_7: 0.9779 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9937 - dense_4_acc_10: 0.9881    \n",
      "Epoch 100/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2043 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.5605e-04 - dense_4_loss_3: 0.0094 - dense_4_loss_4: 0.0194 - dense_4_loss_5: 3.2450e-04 - dense_4_loss_6: 0.0148 - dense_4_loss_7: 0.0750 - dense_4_loss_8: 4.0338e-04 - dense_4_loss_9: 0.0303 - dense_4_loss_10: 0.0514 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9993 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9951 - dense_4_acc_7: 0.9785 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9936 - dense_4_acc_10: 0.9893    \n",
      "Epoch 101/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2020 - dense_4_loss_1: 0.0025 - dense_4_loss_2: 7.3179e-04 - dense_4_loss_3: 0.0093 - dense_4_loss_4: 0.0193 - dense_4_loss_5: 3.1983e-04 - dense_4_loss_6: 0.0148 - dense_4_loss_7: 0.0746 - dense_4_loss_8: 3.7649e-04 - dense_4_loss_9: 0.0296 - dense_4_loss_10: 0.0505 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9996 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9954 - dense_4_acc_7: 0.9787 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9896    \n",
      "Epoch 102/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.2003 - dense_4_loss_1: 0.0024 - dense_4_loss_2: 7.1181e-04 - dense_4_loss_3: 0.0092 - dense_4_loss_4: 0.0190 - dense_4_loss_5: 3.0494e-04 - dense_4_loss_6: 0.0149 - dense_4_loss_7: 0.0738 - dense_4_loss_8: 3.8611e-04 - dense_4_loss_9: 0.0295 - dense_4_loss_10: 0.0501 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9950 - dense_4_acc_7: 0.9787 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9896    \n",
      "Epoch 103/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1989 - dense_4_loss_1: 0.0024 - dense_4_loss_2: 7.1210e-04 - dense_4_loss_3: 0.0091 - dense_4_loss_4: 0.0189 - dense_4_loss_5: 3.0786e-04 - dense_4_loss_6: 0.0143 - dense_4_loss_7: 0.0737 - dense_4_loss_8: 3.5822e-04 - dense_4_loss_9: 0.0293 - dense_4_loss_10: 0.0498 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9950 - dense_4_acc_7: 0.9785 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9938 - dense_4_acc_10: 0.9891    \n",
      "Epoch 104/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1967 - dense_4_loss_1: 0.0024 - dense_4_loss_2: 7.1599e-04 - dense_4_loss_3: 0.0090 - dense_4_loss_4: 0.0187 - dense_4_loss_5: 3.0633e-04 - dense_4_loss_6: 0.0142 - dense_4_loss_7: 0.0730 - dense_4_loss_8: 3.7391e-04 - dense_4_loss_9: 0.0291 - dense_4_loss_10: 0.0489 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9954 - dense_4_acc_7: 0.9785 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9894    \n",
      "Epoch 105/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1949 - dense_4_loss_1: 0.0024 - dense_4_loss_2: 7.1391e-04 - dense_4_loss_3: 0.0088 - dense_4_loss_4: 0.0184 - dense_4_loss_5: 2.9962e-04 - dense_4_loss_6: 0.0143 - dense_4_loss_7: 0.0726 - dense_4_loss_8: 3.6021e-04 - dense_4_loss_9: 0.0286 - dense_4_loss_10: 0.0485 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9957 - dense_4_acc_7: 0.9797 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9938 - dense_4_acc_10: 0.9902    \n",
      "Epoch 106/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1933 - dense_4_loss_1: 0.0023 - dense_4_loss_2: 6.8517e-04 - dense_4_loss_3: 0.0087 - dense_4_loss_4: 0.0182 - dense_4_loss_5: 2.9516e-04 - dense_4_loss_6: 0.0140 - dense_4_loss_7: 0.0720 - dense_4_loss_8: 3.5750e-04 - dense_4_loss_9: 0.0289 - dense_4_loss_10: 0.0479 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9957 - dense_4_acc_7: 0.9787 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9937 - dense_4_acc_10: 0.9902    \n",
      "Epoch 107/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1916 - dense_4_loss_1: 0.0023 - dense_4_loss_2: 6.9474e-04 - dense_4_loss_3: 0.0087 - dense_4_loss_4: 0.0181 - dense_4_loss_5: 2.9380e-04 - dense_4_loss_6: 0.0140 - dense_4_loss_7: 0.0714 - dense_4_loss_8: 3.5429e-04 - dense_4_loss_9: 0.0281 - dense_4_loss_10: 0.0476 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9957 - dense_4_acc_7: 0.9785 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9900    \n",
      "Epoch 108/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.1901 - dense_4_loss_1: 0.0023 - dense_4_loss_2: 6.8516e-04 - dense_4_loss_3: 0.0086 - dense_4_loss_4: 0.0179 - dense_4_loss_5: 2.8364e-04 - dense_4_loss_6: 0.0138 - dense_4_loss_7: 0.0711 - dense_4_loss_8: 3.3663e-04 - dense_4_loss_9: 0.0280 - dense_4_loss_10: 0.0469 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9955 - dense_4_acc_7: 0.9797 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9941 - dense_4_acc_10: 0.9895    \n",
      "Epoch 109/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1887 - dense_4_loss_1: 0.0023 - dense_4_loss_2: 6.6239e-04 - dense_4_loss_3: 0.0085 - dense_4_loss_4: 0.0177 - dense_4_loss_5: 2.7391e-04 - dense_4_loss_6: 0.0139 - dense_4_loss_7: 0.0704 - dense_4_loss_8: 3.4099e-04 - dense_4_loss_9: 0.0278 - dense_4_loss_10: 0.0468 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9955 - dense_4_acc_7: 0.9800 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9940 - dense_4_acc_10: 0.9900    \n",
      "Epoch 110/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.1881 - dense_4_loss_1: 0.0023 - dense_4_loss_2: 6.8496e-04 - dense_4_loss_3: 0.0084 - dense_4_loss_4: 0.0175 - dense_4_loss_5: 2.8082e-04 - dense_4_loss_6: 0.0136 - dense_4_loss_7: 0.0708 - dense_4_loss_8: 3.2956e-04 - dense_4_loss_9: 0.0277 - dense_4_loss_10: 0.0465 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9955 - dense_4_acc_7: 0.9796 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9943 - dense_4_acc_10: 0.9905    \n",
      "Epoch 111/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1861 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.6276e-04 - dense_4_loss_3: 0.0084 - dense_4_loss_4: 0.0174 - dense_4_loss_5: 2.6802e-04 - dense_4_loss_6: 0.0137 - dense_4_loss_7: 0.0699 - dense_4_loss_8: 3.2642e-04 - dense_4_loss_9: 0.0275 - dense_4_loss_10: 0.0457 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9956 - dense_4_acc_7: 0.9797 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9937 - dense_4_acc_10: 0.9906    \n",
      "Epoch 112/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1849 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.4972e-04 - dense_4_loss_3: 0.0083 - dense_4_loss_4: 0.0172 - dense_4_loss_5: 2.6799e-04 - dense_4_loss_6: 0.0136 - dense_4_loss_7: 0.0698 - dense_4_loss_8: 3.2142e-04 - dense_4_loss_9: 0.0273 - dense_4_loss_10: 0.0452 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9958 - dense_4_acc_7: 0.9800 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9945 - dense_4_acc_10: 0.9906    \n",
      "Epoch 113/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1816 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.4786e-04 - dense_4_loss_3: 0.0082 - dense_4_loss_4: 0.0169 - dense_4_loss_5: 2.6030e-04 - dense_4_loss_6: 0.0132 - dense_4_loss_7: 0.0687 - dense_4_loss_8: 3.1987e-04 - dense_4_loss_9: 0.0264 - dense_4_loss_10: 0.0448 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9960 - dense_4_acc_7: 0.9805 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9945 - dense_4_acc_10: 0.9910    \n",
      "Epoch 114/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1808 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.5025e-04 - dense_4_loss_3: 0.0081 - dense_4_loss_4: 0.0169 - dense_4_loss_5: 2.5308e-04 - dense_4_loss_6: 0.0132 - dense_4_loss_7: 0.0686 - dense_4_loss_8: 3.1724e-04 - dense_4_loss_9: 0.0264 - dense_4_loss_10: 0.0441 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9963 - dense_4_acc_7: 0.9807 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9939 - dense_4_acc_10: 0.9911    \n",
      "Epoch 115/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1792 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.5227e-04 - dense_4_loss_3: 0.0080 - dense_4_loss_4: 0.0168 - dense_4_loss_5: 2.5300e-04 - dense_4_loss_6: 0.0132 - dense_4_loss_7: 0.0675 - dense_4_loss_8: 3.1285e-04 - dense_4_loss_9: 0.0262 - dense_4_loss_10: 0.0440 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9997 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9959 - dense_4_acc_7: 0.9812 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9941 - dense_4_acc_10: 0.9911    \n",
      "Epoch 116/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1785 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.4633e-04 - dense_4_loss_3: 0.0079 - dense_4_loss_4: 0.0166 - dense_4_loss_5: 2.4140e-04 - dense_4_loss_6: 0.0128 - dense_4_loss_7: 0.0678 - dense_4_loss_8: 3.0435e-04 - dense_4_loss_9: 0.0263 - dense_4_loss_10: 0.0435 - dense_4_acc_1: 0.9997 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9967 - dense_4_acc_7: 0.9809 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9945 - dense_4_acc_10: 0.9914    \n",
      "Epoch 117/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1766 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.4059e-04 - dense_4_loss_3: 0.0079 - dense_4_loss_4: 0.0165 - dense_4_loss_5: 2.4641e-04 - dense_4_loss_6: 0.0129 - dense_4_loss_7: 0.0673 - dense_4_loss_8: 3.0571e-04 - dense_4_loss_9: 0.0256 - dense_4_loss_10: 0.0430 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9961 - dense_4_acc_7: 0.9809 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9952 - dense_4_acc_10: 0.9910    \n",
      "Epoch 118/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1752 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.3343e-04 - dense_4_loss_3: 0.0078 - dense_4_loss_4: 0.0163 - dense_4_loss_5: 2.4392e-04 - dense_4_loss_6: 0.0126 - dense_4_loss_7: 0.0669 - dense_4_loss_8: 2.8856e-04 - dense_4_loss_9: 0.0257 - dense_4_loss_10: 0.0426 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9965 - dense_4_acc_7: 0.9823 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9942 - dense_4_acc_10: 0.9921    \n",
      "Epoch 119/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1733 - dense_4_loss_1: 0.0022 - dense_4_loss_2: 6.2800e-04 - dense_4_loss_3: 0.0077 - dense_4_loss_4: 0.0162 - dense_4_loss_5: 2.4049e-04 - dense_4_loss_6: 0.0124 - dense_4_loss_7: 0.0661 - dense_4_loss_8: 2.9755e-04 - dense_4_loss_9: 0.0255 - dense_4_loss_10: 0.0421 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9811 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9947 - dense_4_acc_10: 0.9917    \n",
      "Epoch 120/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1721 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.3031e-04 - dense_4_loss_3: 0.0076 - dense_4_loss_4: 0.0160 - dense_4_loss_5: 2.2498e-04 - dense_4_loss_6: 0.0129 - dense_4_loss_7: 0.0655 - dense_4_loss_8: 2.9026e-04 - dense_4_loss_9: 0.0251 - dense_4_loss_10: 0.0417 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9994 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9962 - dense_4_acc_7: 0.9816 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9943 - dense_4_acc_10: 0.9916    \n",
      "Epoch 121/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1710 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.1271e-04 - dense_4_loss_3: 0.0076 - dense_4_loss_4: 0.0159 - dense_4_loss_5: 2.2964e-04 - dense_4_loss_6: 0.0123 - dense_4_loss_7: 0.0655 - dense_4_loss_8: 2.7851e-04 - dense_4_loss_9: 0.0249 - dense_4_loss_10: 0.0416 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9963 - dense_4_acc_7: 0.9817 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9945 - dense_4_acc_10: 0.9912    \n",
      "Epoch 122/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1694 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.2201e-04 - dense_4_loss_3: 0.0075 - dense_4_loss_4: 0.0157 - dense_4_loss_5: 2.3255e-04 - dense_4_loss_6: 0.0125 - dense_4_loss_7: 0.0648 - dense_4_loss_8: 2.8624e-04 - dense_4_loss_9: 0.0247 - dense_4_loss_10: 0.0410 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9964 - dense_4_acc_7: 0.9820 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9949 - dense_4_acc_10: 0.9916    \n",
      "Epoch 123/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1689 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.0599e-04 - dense_4_loss_3: 0.0075 - dense_4_loss_4: 0.0156 - dense_4_loss_5: 2.2454e-04 - dense_4_loss_6: 0.0123 - dense_4_loss_7: 0.0647 - dense_4_loss_8: 2.7548e-04 - dense_4_loss_9: 0.0246 - dense_4_loss_10: 0.0410 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9998 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9969 - dense_4_acc_7: 0.9817 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9948 - dense_4_acc_10: 0.9918    \n",
      "Epoch 124/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1672 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.0243e-04 - dense_4_loss_3: 0.0073 - dense_4_loss_4: 0.0155 - dense_4_loss_5: 2.1855e-04 - dense_4_loss_6: 0.0121 - dense_4_loss_7: 0.0642 - dense_4_loss_8: 2.7386e-04 - dense_4_loss_9: 0.0243 - dense_4_loss_10: 0.0406 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9821 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9950 - dense_4_acc_10: 0.9916    \n",
      "Epoch 125/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1653 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.0384e-04 - dense_4_loss_3: 0.0073 - dense_4_loss_4: 0.0153 - dense_4_loss_5: 2.2075e-04 - dense_4_loss_6: 0.0120 - dense_4_loss_7: 0.0637 - dense_4_loss_8: 2.7414e-04 - dense_4_loss_9: 0.0239 - dense_4_loss_10: 0.0400 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9969 - dense_4_acc_7: 0.9827 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9948 - dense_4_acc_10: 0.9926    \n",
      "Epoch 126/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1662 - dense_4_loss_1: 0.0021 - dense_4_loss_2: 6.0190e-04 - dense_4_loss_3: 0.0072 - dense_4_loss_4: 0.0155 - dense_4_loss_5: 2.2389e-04 - dense_4_loss_6: 0.0119 - dense_4_loss_7: 0.0641 - dense_4_loss_8: 2.5853e-04 - dense_4_loss_9: 0.0243 - dense_4_loss_10: 0.0400 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9965 - dense_4_acc_7: 0.9817 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9946 - dense_4_acc_10: 0.9922    \n",
      "Epoch 127/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1635 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.9922e-04 - dense_4_loss_3: 0.0071 - dense_4_loss_4: 0.0151 - dense_4_loss_5: 2.0370e-04 - dense_4_loss_6: 0.0118 - dense_4_loss_7: 0.0631 - dense_4_loss_8: 2.6460e-04 - dense_4_loss_9: 0.0239 - dense_4_loss_10: 0.0394 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9822 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9945 - dense_4_acc_10: 0.9926    \n",
      "Epoch 128/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1627 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.8485e-04 - dense_4_loss_3: 0.0072 - dense_4_loss_4: 0.0151 - dense_4_loss_5: 2.0731e-04 - dense_4_loss_6: 0.0117 - dense_4_loss_7: 0.0630 - dense_4_loss_8: 2.6422e-04 - dense_4_loss_9: 0.0237 - dense_4_loss_10: 0.0391 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9967 - dense_4_acc_7: 0.9826 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9948 - dense_4_acc_10: 0.9922    \n",
      "Epoch 129/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1617 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.7838e-04 - dense_4_loss_3: 0.0070 - dense_4_loss_4: 0.0149 - dense_4_loss_5: 2.0592e-04 - dense_4_loss_6: 0.0117 - dense_4_loss_7: 0.0624 - dense_4_loss_8: 2.5976e-04 - dense_4_loss_9: 0.0237 - dense_4_loss_10: 0.0390 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9830 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9953 - dense_4_acc_10: 0.9926    \n",
      "Epoch 130/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1601 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.9025e-04 - dense_4_loss_3: 0.0069 - dense_4_loss_4: 0.0147 - dense_4_loss_5: 2.0227e-04 - dense_4_loss_6: 0.0115 - dense_4_loss_7: 0.0621 - dense_4_loss_8: 2.4986e-04 - dense_4_loss_9: 0.0234 - dense_4_loss_10: 0.0384 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9967 - dense_4_acc_7: 0.9834 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9928    \n",
      "Epoch 131/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1591 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.9659e-04 - dense_4_loss_3: 0.0069 - dense_4_loss_4: 0.0146 - dense_4_loss_5: 2.0033e-04 - dense_4_loss_6: 0.0115 - dense_4_loss_7: 0.0613 - dense_4_loss_8: 2.5615e-04 - dense_4_loss_9: 0.0234 - dense_4_loss_10: 0.0383 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9827 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9922    \n",
      "Epoch 132/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1573 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.7800e-04 - dense_4_loss_3: 0.0068 - dense_4_loss_4: 0.0145 - dense_4_loss_5: 1.9696e-04 - dense_4_loss_6: 0.0115 - dense_4_loss_7: 0.0611 - dense_4_loss_8: 2.5237e-04 - dense_4_loss_9: 0.0229 - dense_4_loss_10: 0.0375 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9972 - dense_4_acc_7: 0.9832 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9949 - dense_4_acc_10: 0.9926    \n",
      "Epoch 133/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1565 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.7591e-04 - dense_4_loss_3: 0.0068 - dense_4_loss_4: 0.0144 - dense_4_loss_5: 1.9896e-04 - dense_4_loss_6: 0.0113 - dense_4_loss_7: 0.0607 - dense_4_loss_8: 2.4670e-04 - dense_4_loss_9: 0.0226 - dense_4_loss_10: 0.0376 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9972 - dense_4_acc_7: 0.9837 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9929    \n",
      "Epoch 134/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1555 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.6741e-04 - dense_4_loss_3: 0.0068 - dense_4_loss_4: 0.0144 - dense_4_loss_5: 1.9698e-04 - dense_4_loss_6: 0.0113 - dense_4_loss_7: 0.0605 - dense_4_loss_8: 2.3846e-04 - dense_4_loss_9: 0.0227 - dense_4_loss_10: 0.0370 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9995 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9969 - dense_4_acc_7: 0.9836 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9947 - dense_4_acc_10: 0.9926    \n",
      "Epoch 135/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1547 - dense_4_loss_1: 0.0020 - dense_4_loss_2: 5.5361e-04 - dense_4_loss_3: 0.0067 - dense_4_loss_4: 0.0142 - dense_4_loss_5: 1.9509e-04 - dense_4_loss_6: 0.0113 - dense_4_loss_7: 0.0600 - dense_4_loss_8: 2.4401e-04 - dense_4_loss_9: 0.0226 - dense_4_loss_10: 0.0369 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9968 - dense_4_acc_7: 0.9833 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9929    \n",
      "Epoch 136/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.1542 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.6937e-04 - dense_4_loss_3: 0.0066 - dense_4_loss_4: 0.0141 - dense_4_loss_5: 1.9721e-04 - dense_4_loss_6: 0.0113 - dense_4_loss_7: 0.0601 - dense_4_loss_8: 2.4280e-04 - dense_4_loss_9: 0.0225 - dense_4_loss_10: 0.0366 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9972 - dense_4_acc_7: 0.9832 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9930    \n",
      "Epoch 137/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1522 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.4518e-04 - dense_4_loss_3: 0.0066 - dense_4_loss_4: 0.0141 - dense_4_loss_5: 1.8436e-04 - dense_4_loss_6: 0.0110 - dense_4_loss_7: 0.0593 - dense_4_loss_8: 2.3494e-04 - dense_4_loss_9: 0.0222 - dense_4_loss_10: 0.0360 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9975 - dense_4_acc_7: 0.9836 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9951 - dense_4_acc_10: 0.9934    \n",
      "Epoch 138/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1511 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.6215e-04 - dense_4_loss_3: 0.0065 - dense_4_loss_4: 0.0138 - dense_4_loss_5: 1.9714e-04 - dense_4_loss_6: 0.0110 - dense_4_loss_7: 0.0595 - dense_4_loss_8: 2.3051e-04 - dense_4_loss_9: 0.0216 - dense_4_loss_10: 0.0358 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9838 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9954 - dense_4_acc_10: 0.9927    \n",
      "Epoch 139/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1503 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.5338e-04 - dense_4_loss_3: 0.0065 - dense_4_loss_4: 0.0139 - dense_4_loss_5: 1.8470e-04 - dense_4_loss_6: 0.0110 - dense_4_loss_7: 0.0587 - dense_4_loss_8: 2.2847e-04 - dense_4_loss_9: 0.0218 - dense_4_loss_10: 0.0355 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9970 - dense_4_acc_7: 0.9841 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9931    \n",
      "Epoch 140/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1493 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.5675e-04 - dense_4_loss_3: 0.0064 - dense_4_loss_4: 0.0138 - dense_4_loss_5: 1.7590e-04 - dense_4_loss_6: 0.0106 - dense_4_loss_7: 0.0585 - dense_4_loss_8: 2.2790e-04 - dense_4_loss_9: 0.0214 - dense_4_loss_10: 0.0357 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9835 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9927    \n",
      "Epoch 141/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1489 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.4713e-04 - dense_4_loss_3: 0.0063 - dense_4_loss_4: 0.0137 - dense_4_loss_5: 1.7902e-04 - dense_4_loss_6: 0.0110 - dense_4_loss_7: 0.0583 - dense_4_loss_8: 2.2484e-04 - dense_4_loss_9: 0.0214 - dense_4_loss_10: 0.0354 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9972 - dense_4_acc_7: 0.9841 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9926    \n",
      "Epoch 142/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1475 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.4625e-04 - dense_4_loss_3: 0.0063 - dense_4_loss_4: 0.0135 - dense_4_loss_5: 1.6986e-04 - dense_4_loss_6: 0.0107 - dense_4_loss_7: 0.0579 - dense_4_loss_8: 2.2064e-04 - dense_4_loss_9: 0.0212 - dense_4_loss_10: 0.0351 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9971 - dense_4_acc_7: 0.9835 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9953 - dense_4_acc_10: 0.9926    \n",
      "Epoch 143/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1466 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.4439e-04 - dense_4_loss_3: 0.0063 - dense_4_loss_4: 0.0135 - dense_4_loss_5: 1.7822e-04 - dense_4_loss_6: 0.0108 - dense_4_loss_7: 0.0578 - dense_4_loss_8: 2.1758e-04 - dense_4_loss_9: 0.0208 - dense_4_loss_10: 0.0347 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9972 - dense_4_acc_7: 0.9844 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9935    \n",
      "Epoch 144/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1452 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.1734e-04 - dense_4_loss_3: 0.0062 - dense_4_loss_4: 0.0133 - dense_4_loss_5: 1.7252e-04 - dense_4_loss_6: 0.0105 - dense_4_loss_7: 0.0569 - dense_4_loss_8: 2.2319e-04 - dense_4_loss_9: 0.0211 - dense_4_loss_10: 0.0343 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9970 - dense_4_acc_7: 0.9840 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9953 - dense_4_acc_10: 0.9939    \n",
      "Epoch 145/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1444 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.3364e-04 - dense_4_loss_3: 0.0062 - dense_4_loss_4: 0.0133 - dense_4_loss_5: 1.6469e-04 - dense_4_loss_6: 0.0105 - dense_4_loss_7: 0.0567 - dense_4_loss_8: 2.0481e-04 - dense_4_loss_9: 0.0208 - dense_4_loss_10: 0.0341 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9974 - dense_4_acc_7: 0.9844 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9932    \n",
      "Epoch 146/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1437 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.2887e-04 - dense_4_loss_3: 0.0061 - dense_4_loss_4: 0.0132 - dense_4_loss_5: 1.6534e-04 - dense_4_loss_6: 0.0105 - dense_4_loss_7: 0.0564 - dense_4_loss_8: 2.1293e-04 - dense_4_loss_9: 0.0209 - dense_4_loss_10: 0.0339 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9845 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9950 - dense_4_acc_10: 0.9935    \n",
      "Epoch 147/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1426 - dense_4_loss_1: 0.0019 - dense_4_loss_2: 5.2736e-04 - dense_4_loss_3: 0.0061 - dense_4_loss_4: 0.0131 - dense_4_loss_5: 1.6536e-04 - dense_4_loss_6: 0.0102 - dense_4_loss_7: 0.0566 - dense_4_loss_8: 2.0530e-04 - dense_4_loss_9: 0.0202 - dense_4_loss_10: 0.0335 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9975 - dense_4_acc_7: 0.9845 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9955 - dense_4_acc_10: 0.9937    \n",
      "Epoch 148/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1419 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.2559e-04 - dense_4_loss_3: 0.0061 - dense_4_loss_4: 0.0131 - dense_4_loss_5: 1.5562e-04 - dense_4_loss_6: 0.0101 - dense_4_loss_7: 0.0560 - dense_4_loss_8: 2.1411e-04 - dense_4_loss_9: 0.0203 - dense_4_loss_10: 0.0337 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9855 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9937    \n",
      "Epoch 149/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1405 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.1761e-04 - dense_4_loss_3: 0.0061 - dense_4_loss_4: 0.0129 - dense_4_loss_5: 1.6124e-04 - dense_4_loss_6: 0.0100 - dense_4_loss_7: 0.0556 - dense_4_loss_8: 2.0433e-04 - dense_4_loss_9: 0.0202 - dense_4_loss_10: 0.0331 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9854 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9937    \n",
      "Epoch 150/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1392 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.2123e-04 - dense_4_loss_3: 0.0059 - dense_4_loss_4: 0.0128 - dense_4_loss_5: 1.5515e-04 - dense_4_loss_6: 0.0100 - dense_4_loss_7: 0.0550 - dense_4_loss_8: 2.0333e-04 - dense_4_loss_9: 0.0201 - dense_4_loss_10: 0.0327 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9978 - dense_4_acc_7: 0.9856 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9939    \n",
      "Epoch 151/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1385 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.1547e-04 - dense_4_loss_3: 0.0059 - dense_4_loss_4: 0.0127 - dense_4_loss_5: 1.5830e-04 - dense_4_loss_6: 0.0099 - dense_4_loss_7: 0.0548 - dense_4_loss_8: 2.0263e-04 - dense_4_loss_9: 0.0199 - dense_4_loss_10: 0.0326 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9975 - dense_4_acc_7: 0.9850 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9953 - dense_4_acc_10: 0.9937    \n",
      "Epoch 152/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1387 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 5.1875e-04 - dense_4_loss_3: 0.0058 - dense_4_loss_4: 0.0126 - dense_4_loss_5: 1.5168e-04 - dense_4_loss_6: 0.0100 - dense_4_loss_7: 0.0552 - dense_4_loss_8: 1.9805e-04 - dense_4_loss_9: 0.0199 - dense_4_loss_10: 0.0325 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9843 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9959 - dense_4_acc_10: 0.9935    \n",
      "Epoch 153/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1376 - dense_4_loss_1: 0.0018 - dense_4_loss_2: 5.2521e-04 - dense_4_loss_3: 0.0058 - dense_4_loss_4: 0.0126 - dense_4_loss_5: 1.5322e-04 - dense_4_loss_6: 0.0100 - dense_4_loss_7: 0.0547 - dense_4_loss_8: 2.0086e-04 - dense_4_loss_9: 0.0197 - dense_4_loss_10: 0.0322 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9974 - dense_4_acc_7: 0.9849 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9957 - dense_4_acc_10: 0.9940    \n",
      "Epoch 154/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1370 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 5.1022e-04 - dense_4_loss_3: 0.0058 - dense_4_loss_4: 0.0125 - dense_4_loss_5: 1.5622e-04 - dense_4_loss_6: 0.0099 - dense_4_loss_7: 0.0545 - dense_4_loss_8: 1.9823e-04 - dense_4_loss_9: 0.0198 - dense_4_loss_10: 0.0320 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9973 - dense_4_acc_7: 0.9854 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9939    \n",
      "Epoch 155/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1349 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 5.0405e-04 - dense_4_loss_3: 0.0057 - dense_4_loss_4: 0.0124 - dense_4_loss_5: 1.4653e-04 - dense_4_loss_6: 0.0098 - dense_4_loss_7: 0.0537 - dense_4_loss_8: 1.9174e-04 - dense_4_loss_9: 0.0194 - dense_4_loss_10: 0.0313 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9971 - dense_4_acc_7: 0.9854 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9961 - dense_4_acc_10: 0.9942    \n",
      "Epoch 156/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1348 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 5.0526e-04 - dense_4_loss_3: 0.0057 - dense_4_loss_4: 0.0124 - dense_4_loss_5: 1.5627e-04 - dense_4_loss_6: 0.0098 - dense_4_loss_7: 0.0538 - dense_4_loss_8: 1.8944e-04 - dense_4_loss_9: 0.0193 - dense_4_loss_10: 0.0313 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9976 - dense_4_acc_7: 0.9855 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9936    \n",
      "Epoch 157/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1336 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.9598e-04 - dense_4_loss_3: 0.0056 - dense_4_loss_4: 0.0124 - dense_4_loss_5: 1.4225e-04 - dense_4_loss_6: 0.0096 - dense_4_loss_7: 0.0530 - dense_4_loss_8: 1.9136e-04 - dense_4_loss_9: 0.0194 - dense_4_loss_10: 0.0311 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9974 - dense_4_acc_7: 0.9862 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9961 - dense_4_acc_10: 0.9940    \n",
      "Epoch 158/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1330 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 5.0288e-04 - dense_4_loss_3: 0.0056 - dense_4_loss_4: 0.0122 - dense_4_loss_5: 1.4509e-04 - dense_4_loss_6: 0.0094 - dense_4_loss_7: 0.0529 - dense_4_loss_8: 1.8431e-04 - dense_4_loss_9: 0.0191 - dense_4_loss_10: 0.0312 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9857 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9960 - dense_4_acc_10: 0.9941    \n",
      "Epoch 159/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1327 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.9180e-04 - dense_4_loss_3: 0.0056 - dense_4_loss_4: 0.0121 - dense_4_loss_5: 1.4131e-04 - dense_4_loss_6: 0.0097 - dense_4_loss_7: 0.0531 - dense_4_loss_8: 1.8284e-04 - dense_4_loss_9: 0.0189 - dense_4_loss_10: 0.0308 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9976 - dense_4_acc_7: 0.9855 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9959 - dense_4_acc_10: 0.9939    \n",
      "Epoch 160/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1311 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.9463e-04 - dense_4_loss_3: 0.0056 - dense_4_loss_4: 0.0120 - dense_4_loss_5: 1.4408e-04 - dense_4_loss_6: 0.0096 - dense_4_loss_7: 0.0523 - dense_4_loss_8: 1.8449e-04 - dense_4_loss_9: 0.0186 - dense_4_loss_10: 0.0304 - dense_4_acc_1: 0.9998 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9974 - dense_4_acc_7: 0.9866 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9958 - dense_4_acc_10: 0.9941    \n",
      "Epoch 161/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1300 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.8527e-04 - dense_4_loss_3: 0.0054 - dense_4_loss_4: 0.0120 - dense_4_loss_5: 1.3854e-04 - dense_4_loss_6: 0.0093 - dense_4_loss_7: 0.0522 - dense_4_loss_8: 1.8525e-04 - dense_4_loss_9: 0.0184 - dense_4_loss_10: 0.0302 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9978 - dense_4_acc_7: 0.9854 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9965 - dense_4_acc_10: 0.9943    \n",
      "Epoch 162/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.1293 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.8940e-04 - dense_4_loss_3: 0.0055 - dense_4_loss_4: 0.0118 - dense_4_loss_5: 1.3622e-04 - dense_4_loss_6: 0.0094 - dense_4_loss_7: 0.0517 - dense_4_loss_8: 1.7944e-04 - dense_4_loss_9: 0.0185 - dense_4_loss_10: 0.0301 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9976 - dense_4_acc_7: 0.9864 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9960 - dense_4_acc_10: 0.9942    \n",
      "Epoch 163/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1285 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.8856e-04 - dense_4_loss_3: 0.0054 - dense_4_loss_4: 0.0119 - dense_4_loss_5: 1.4519e-04 - dense_4_loss_6: 0.0092 - dense_4_loss_7: 0.0516 - dense_4_loss_8: 1.8003e-04 - dense_4_loss_9: 0.0181 - dense_4_loss_10: 0.0299 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9996 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9980 - dense_4_acc_7: 0.9865 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9964 - dense_4_acc_10: 0.9950    \n",
      "Epoch 164/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1278 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.7638e-04 - dense_4_loss_3: 0.0054 - dense_4_loss_4: 0.0118 - dense_4_loss_5: 1.3508e-04 - dense_4_loss_6: 0.0090 - dense_4_loss_7: 0.0514 - dense_4_loss_8: 1.7826e-04 - dense_4_loss_9: 0.0180 - dense_4_loss_10: 0.0297 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9978 - dense_4_acc_7: 0.9858 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9963 - dense_4_acc_10: 0.9946    \n",
      "Epoch 165/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1274 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.8621e-04 - dense_4_loss_3: 0.0054 - dense_4_loss_4: 0.0118 - dense_4_loss_5: 1.3833e-04 - dense_4_loss_6: 0.0092 - dense_4_loss_7: 0.0512 - dense_4_loss_8: 1.7527e-04 - dense_4_loss_9: 0.0181 - dense_4_loss_10: 0.0293 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9860 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9960 - dense_4_acc_10: 0.9950    \n",
      "Epoch 166/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1263 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.8238e-04 - dense_4_loss_3: 0.0053 - dense_4_loss_4: 0.0117 - dense_4_loss_5: 1.3670e-04 - dense_4_loss_6: 0.0089 - dense_4_loss_7: 0.0510 - dense_4_loss_8: 1.7209e-04 - dense_4_loss_9: 0.0178 - dense_4_loss_10: 0.0291 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9861 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9963 - dense_4_acc_10: 0.9947    \n",
      "Epoch 167/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1255 - dense_4_loss_1: 0.0017 - dense_4_loss_2: 4.7655e-04 - dense_4_loss_3: 0.0053 - dense_4_loss_4: 0.0116 - dense_4_loss_5: 1.3383e-04 - dense_4_loss_6: 0.0091 - dense_4_loss_7: 0.0502 - dense_4_loss_8: 1.7288e-04 - dense_4_loss_9: 0.0177 - dense_4_loss_10: 0.0292 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9980 - dense_4_acc_7: 0.9865 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9964 - dense_4_acc_10: 0.9947    \n",
      "Epoch 168/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1243 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.7835e-04 - dense_4_loss_3: 0.0053 - dense_4_loss_4: 0.0115 - dense_4_loss_5: 1.3120e-04 - dense_4_loss_6: 0.0089 - dense_4_loss_7: 0.0500 - dense_4_loss_8: 1.7539e-04 - dense_4_loss_9: 0.0175 - dense_4_loss_10: 0.0288 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9976 - dense_4_acc_7: 0.9866 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9965 - dense_4_acc_10: 0.9946    \n",
      "Epoch 169/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1246 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.6716e-04 - dense_4_loss_3: 0.0052 - dense_4_loss_4: 0.0115 - dense_4_loss_5: 1.3391e-04 - dense_4_loss_6: 0.0089 - dense_4_loss_7: 0.0499 - dense_4_loss_8: 1.6764e-04 - dense_4_loss_9: 0.0179 - dense_4_loss_10: 0.0288 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9979 - dense_4_acc_7: 0.9869 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9962 - dense_4_acc_10: 0.9946    \n",
      "Epoch 170/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1236 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.7320e-04 - dense_4_loss_3: 0.0052 - dense_4_loss_4: 0.0114 - dense_4_loss_5: 1.2563e-04 - dense_4_loss_6: 0.0089 - dense_4_loss_7: 0.0497 - dense_4_loss_8: 1.7205e-04 - dense_4_loss_9: 0.0175 - dense_4_loss_10: 0.0284 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9863 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9966 - dense_4_acc_10: 0.9952    \n",
      "Epoch 171/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1227 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.6777e-04 - dense_4_loss_3: 0.0052 - dense_4_loss_4: 0.0113 - dense_4_loss_5: 1.3545e-04 - dense_4_loss_6: 0.0087 - dense_4_loss_7: 0.0495 - dense_4_loss_8: 1.6905e-04 - dense_4_loss_9: 0.0173 - dense_4_loss_10: 0.0283 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9977 - dense_4_acc_7: 0.9865 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9964 - dense_4_acc_10: 0.9947    \n",
      "Epoch 172/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1220 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.5958e-04 - dense_4_loss_3: 0.0051 - dense_4_loss_4: 0.0113 - dense_4_loss_5: 1.2890e-04 - dense_4_loss_6: 0.0088 - dense_4_loss_7: 0.0494 - dense_4_loss_8: 1.6673e-04 - dense_4_loss_9: 0.0171 - dense_4_loss_10: 0.0281 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9981 - dense_4_acc_7: 0.9869 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9965 - dense_4_acc_10: 0.9948    \n",
      "Epoch 173/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1220 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.6531e-04 - dense_4_loss_3: 0.0051 - dense_4_loss_4: 0.0113 - dense_4_loss_5: 1.2780e-04 - dense_4_loss_6: 0.0087 - dense_4_loss_7: 0.0493 - dense_4_loss_8: 1.5993e-04 - dense_4_loss_9: 0.0174 - dense_4_loss_10: 0.0279 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 0.9999 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9865 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9962 - dense_4_acc_10: 0.9946    \n",
      "Epoch 174/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1206 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.5987e-04 - dense_4_loss_3: 0.0051 - dense_4_loss_4: 0.0111 - dense_4_loss_5: 1.2097e-04 - dense_4_loss_6: 0.0087 - dense_4_loss_7: 0.0489 - dense_4_loss_8: 1.6162e-04 - dense_4_loss_9: 0.0168 - dense_4_loss_10: 0.0276 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9976 - dense_4_acc_7: 0.9870 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9963 - dense_4_acc_10: 0.9951    \n",
      "Epoch 175/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1194 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.4983e-04 - dense_4_loss_3: 0.0050 - dense_4_loss_4: 0.0110 - dense_4_loss_5: 1.2093e-04 - dense_4_loss_6: 0.0084 - dense_4_loss_7: 0.0485 - dense_4_loss_8: 1.6054e-04 - dense_4_loss_9: 0.0167 - dense_4_loss_10: 0.0275 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9980 - dense_4_acc_7: 0.9865 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9964 - dense_4_acc_10: 0.9944    \n",
      "Epoch 176/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1193 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.6246e-04 - dense_4_loss_3: 0.0050 - dense_4_loss_4: 0.0111 - dense_4_loss_5: 1.2102e-04 - dense_4_loss_6: 0.0086 - dense_4_loss_7: 0.0481 - dense_4_loss_8: 1.6264e-04 - dense_4_loss_9: 0.0168 - dense_4_loss_10: 0.0274 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9979 - dense_4_acc_7: 0.9871 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9965 - dense_4_acc_10: 0.9948    \n",
      "Epoch 177/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1185 - dense_4_loss_1: 0.0016 - dense_4_loss_2: 4.5923e-04 - dense_4_loss_3: 0.0049 - dense_4_loss_4: 0.0109 - dense_4_loss_5: 1.2253e-04 - dense_4_loss_6: 0.0084 - dense_4_loss_7: 0.0480 - dense_4_loss_8: 1.6136e-04 - dense_4_loss_9: 0.0166 - dense_4_loss_10: 0.0274 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9981 - dense_4_acc_7: 0.9874 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9962 - dense_4_acc_10: 0.9951    \n",
      "Epoch 178/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1183 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.5181e-04 - dense_4_loss_3: 0.0049 - dense_4_loss_4: 0.0110 - dense_4_loss_5: 1.2609e-04 - dense_4_loss_6: 0.0084 - dense_4_loss_7: 0.0480 - dense_4_loss_8: 1.5677e-04 - dense_4_loss_9: 0.0165 - dense_4_loss_10: 0.0272 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9981 - dense_4_acc_7: 0.9881 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9964 - dense_4_acc_10: 0.9950    \n",
      "Epoch 179/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1176 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3871e-04 - dense_4_loss_3: 0.0049 - dense_4_loss_4: 0.0109 - dense_4_loss_5: 1.1556e-04 - dense_4_loss_6: 0.0083 - dense_4_loss_7: 0.0479 - dense_4_loss_8: 1.5727e-04 - dense_4_loss_9: 0.0164 - dense_4_loss_10: 0.0269 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9981 - dense_4_acc_7: 0.9870 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9967 - dense_4_acc_10: 0.9950    \n",
      "Epoch 180/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1167 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.4266e-04 - dense_4_loss_3: 0.0049 - dense_4_loss_4: 0.0108 - dense_4_loss_5: 1.1904e-04 - dense_4_loss_6: 0.0083 - dense_4_loss_7: 0.0475 - dense_4_loss_8: 1.5389e-04 - dense_4_loss_9: 0.0166 - dense_4_loss_10: 0.0264 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9877 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9965 - dense_4_acc_10: 0.9954    \n",
      "Epoch 181/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1154 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.4981e-04 - dense_4_loss_3: 0.0049 - dense_4_loss_4: 0.0108 - dense_4_loss_5: 1.1790e-04 - dense_4_loss_6: 0.0082 - dense_4_loss_7: 0.0468 - dense_4_loss_8: 1.5838e-04 - dense_4_loss_9: 0.0162 - dense_4_loss_10: 0.0263 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9879 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9954    \n",
      "Epoch 182/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1156 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.4114e-04 - dense_4_loss_3: 0.0048 - dense_4_loss_4: 0.0107 - dense_4_loss_5: 1.1126e-04 - dense_4_loss_6: 0.0082 - dense_4_loss_7: 0.0469 - dense_4_loss_8: 1.5274e-04 - dense_4_loss_9: 0.0162 - dense_4_loss_10: 0.0265 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9979 - dense_4_acc_7: 0.9883 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9954    \n",
      "Epoch 183/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1148 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3989e-04 - dense_4_loss_3: 0.0047 - dense_4_loss_4: 0.0106 - dense_4_loss_5: 1.1058e-04 - dense_4_loss_6: 0.0081 - dense_4_loss_7: 0.0469 - dense_4_loss_8: 1.5206e-04 - dense_4_loss_9: 0.0162 - dense_4_loss_10: 0.0261 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9880 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9954    \n",
      "Epoch 184/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1141 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.4233e-04 - dense_4_loss_3: 0.0048 - dense_4_loss_4: 0.0106 - dense_4_loss_5: 1.1387e-04 - dense_4_loss_6: 0.0082 - dense_4_loss_7: 0.0465 - dense_4_loss_8: 1.5229e-04 - dense_4_loss_9: 0.0158 - dense_4_loss_10: 0.0261 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9980 - dense_4_acc_7: 0.9881 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9956    \n",
      "Epoch 185/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1136 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3692e-04 - dense_4_loss_3: 0.0048 - dense_4_loss_4: 0.0105 - dense_4_loss_5: 1.2108e-04 - dense_4_loss_6: 0.0080 - dense_4_loss_7: 0.0464 - dense_4_loss_8: 1.5332e-04 - dense_4_loss_9: 0.0159 - dense_4_loss_10: 0.0257 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9981 - dense_4_acc_7: 0.9879 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9966 - dense_4_acc_10: 0.9954    \n",
      "Epoch 186/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1134 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.2901e-04 - dense_4_loss_3: 0.0047 - dense_4_loss_4: 0.0105 - dense_4_loss_5: 1.1637e-04 - dense_4_loss_6: 0.0083 - dense_4_loss_7: 0.0465 - dense_4_loss_8: 1.4708e-04 - dense_4_loss_9: 0.0156 - dense_4_loss_10: 0.0257 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9979 - dense_4_acc_7: 0.9873 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9956    \n",
      "Epoch 187/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1122 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3716e-04 - dense_4_loss_3: 0.0047 - dense_4_loss_4: 0.0104 - dense_4_loss_5: 1.1263e-04 - dense_4_loss_6: 0.0080 - dense_4_loss_7: 0.0459 - dense_4_loss_8: 1.5103e-04 - dense_4_loss_9: 0.0157 - dense_4_loss_10: 0.0256 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9885 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9954    \n",
      "Epoch 188/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.1119 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3597e-04 - dense_4_loss_3: 0.0047 - dense_4_loss_4: 0.0104 - dense_4_loss_5: 1.0668e-04 - dense_4_loss_6: 0.0080 - dense_4_loss_7: 0.0455 - dense_4_loss_8: 1.4488e-04 - dense_4_loss_9: 0.0157 - dense_4_loss_10: 0.0254 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9886 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9969 - dense_4_acc_10: 0.9955    \n",
      "Epoch 189/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1108 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3116e-04 - dense_4_loss_3: 0.0046 - dense_4_loss_4: 0.0103 - dense_4_loss_5: 1.0551e-04 - dense_4_loss_6: 0.0080 - dense_4_loss_7: 0.0455 - dense_4_loss_8: 1.4756e-04 - dense_4_loss_9: 0.0153 - dense_4_loss_10: 0.0250 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9886 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9970 - dense_4_acc_10: 0.9957    \n",
      "Epoch 190/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1109 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.3771e-04 - dense_4_loss_3: 0.0046 - dense_4_loss_4: 0.0103 - dense_4_loss_5: 1.0791e-04 - dense_4_loss_6: 0.0081 - dense_4_loss_7: 0.0454 - dense_4_loss_8: 1.4317e-04 - dense_4_loss_9: 0.0153 - dense_4_loss_10: 0.0251 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9978 - dense_4_acc_7: 0.9888 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9969 - dense_4_acc_10: 0.9957    \n",
      "Epoch 191/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1097 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.1557e-04 - dense_4_loss_3: 0.0046 - dense_4_loss_4: 0.0102 - dense_4_loss_5: 1.0627e-04 - dense_4_loss_6: 0.0079 - dense_4_loss_7: 0.0449 - dense_4_loss_8: 1.4306e-04 - dense_4_loss_9: 0.0151 - dense_4_loss_10: 0.0249 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9886 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9956    \n",
      "Epoch 192/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1096 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.2204e-04 - dense_4_loss_3: 0.0045 - dense_4_loss_4: 0.0102 - dense_4_loss_5: 1.1017e-04 - dense_4_loss_6: 0.0075 - dense_4_loss_7: 0.0450 - dense_4_loss_8: 1.4215e-04 - dense_4_loss_9: 0.0152 - dense_4_loss_10: 0.0250 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9885 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9970 - dense_4_acc_10: 0.9956    \n",
      "Epoch 193/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1085 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.2128e-04 - dense_4_loss_3: 0.0045 - dense_4_loss_4: 0.0101 - dense_4_loss_5: 1.0683e-04 - dense_4_loss_6: 0.0078 - dense_4_loss_7: 0.0445 - dense_4_loss_8: 1.3908e-04 - dense_4_loss_9: 0.0148 - dense_4_loss_10: 0.0246 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9979 - dense_4_acc_7: 0.9888 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9958    \n",
      "Epoch 194/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1082 - dense_4_loss_1: 0.0015 - dense_4_loss_2: 4.2535e-04 - dense_4_loss_3: 0.0045 - dense_4_loss_4: 0.0101 - dense_4_loss_5: 1.0540e-04 - dense_4_loss_6: 0.0076 - dense_4_loss_7: 0.0444 - dense_4_loss_8: 1.4004e-04 - dense_4_loss_9: 0.0152 - dense_4_loss_10: 0.0242 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9888 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9959    \n",
      "Epoch 195/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1079 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.2096e-04 - dense_4_loss_3: 0.0045 - dense_4_loss_4: 0.0100 - dense_4_loss_5: 1.0730e-04 - dense_4_loss_6: 0.0076 - dense_4_loss_7: 0.0442 - dense_4_loss_8: 1.4125e-04 - dense_4_loss_9: 0.0150 - dense_4_loss_10: 0.0244 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9890 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9968 - dense_4_acc_10: 0.9957    \n",
      "Epoch 196/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1076 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.2608e-04 - dense_4_loss_3: 0.0044 - dense_4_loss_4: 0.0100 - dense_4_loss_5: 9.7689e-05 - dense_4_loss_6: 0.0079 - dense_4_loss_7: 0.0441 - dense_4_loss_8: 1.3830e-04 - dense_4_loss_9: 0.0148 - dense_4_loss_10: 0.0244 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9980 - dense_4_acc_7: 0.9894 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9955    \n",
      "Epoch 197/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1066 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.2145e-04 - dense_4_loss_3: 0.0044 - dense_4_loss_4: 0.0099 - dense_4_loss_5: 1.0115e-04 - dense_4_loss_6: 0.0076 - dense_4_loss_7: 0.0437 - dense_4_loss_8: 1.3785e-04 - dense_4_loss_9: 0.0148 - dense_4_loss_10: 0.0241 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9886 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9970 - dense_4_acc_10: 0.9958    \n",
      "Epoch 198/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1060 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.1039e-04 - dense_4_loss_3: 0.0044 - dense_4_loss_4: 0.0099 - dense_4_loss_5: 1.0781e-04 - dense_4_loss_6: 0.0074 - dense_4_loss_7: 0.0436 - dense_4_loss_8: 1.3770e-04 - dense_4_loss_9: 0.0145 - dense_4_loss_10: 0.0241 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9890 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9957    \n",
      "Epoch 199/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1053 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0888e-04 - dense_4_loss_3: 0.0044 - dense_4_loss_4: 0.0099 - dense_4_loss_5: 1.0513e-04 - dense_4_loss_6: 0.0074 - dense_4_loss_7: 0.0434 - dense_4_loss_8: 1.3914e-04 - dense_4_loss_9: 0.0146 - dense_4_loss_10: 0.0235 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9997 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9985 - dense_4_acc_7: 0.9889 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9969 - dense_4_acc_10: 0.9963    \n",
      "Epoch 200/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1052 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.1411e-04 - dense_4_loss_3: 0.0043 - dense_4_loss_4: 0.0097 - dense_4_loss_5: 1.0302e-04 - dense_4_loss_6: 0.0075 - dense_4_loss_7: 0.0433 - dense_4_loss_8: 1.3274e-04 - dense_4_loss_9: 0.0145 - dense_4_loss_10: 0.0238 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9895 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9957    \n",
      "Epoch 201/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1054 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0801e-04 - dense_4_loss_3: 0.0044 - dense_4_loss_4: 0.0098 - dense_4_loss_5: 9.7723e-05 - dense_4_loss_6: 0.0076 - dense_4_loss_7: 0.0434 - dense_4_loss_8: 1.3432e-04 - dense_4_loss_9: 0.0147 - dense_4_loss_10: 0.0236 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9896 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9969 - dense_4_acc_10: 0.9957    \n",
      "Epoch 202/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1043 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0678e-04 - dense_4_loss_3: 0.0043 - dense_4_loss_4: 0.0097 - dense_4_loss_5: 9.7200e-05 - dense_4_loss_6: 0.0074 - dense_4_loss_7: 0.0431 - dense_4_loss_8: 1.2937e-04 - dense_4_loss_9: 0.0144 - dense_4_loss_10: 0.0234 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9894 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9962    \n",
      "Epoch 203/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1036 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.1034e-04 - dense_4_loss_3: 0.0043 - dense_4_loss_4: 0.0097 - dense_4_loss_5: 9.7998e-05 - dense_4_loss_6: 0.0074 - dense_4_loss_7: 0.0427 - dense_4_loss_8: 1.3277e-04 - dense_4_loss_9: 0.0142 - dense_4_loss_10: 0.0233 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9893 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9963    \n",
      "Epoch 204/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1025 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0282e-04 - dense_4_loss_3: 0.0043 - dense_4_loss_4: 0.0096 - dense_4_loss_5: 9.7722e-05 - dense_4_loss_6: 0.0073 - dense_4_loss_7: 0.0424 - dense_4_loss_8: 1.3115e-04 - dense_4_loss_9: 0.0141 - dense_4_loss_10: 0.0228 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9895 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9970 - dense_4_acc_10: 0.9959    \n",
      "Epoch 205/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1020 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0333e-04 - dense_4_loss_3: 0.0043 - dense_4_loss_4: 0.0096 - dense_4_loss_5: 9.8938e-05 - dense_4_loss_6: 0.0071 - dense_4_loss_7: 0.0422 - dense_4_loss_8: 1.3310e-04 - dense_4_loss_9: 0.0140 - dense_4_loss_10: 0.0228 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9901 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9963    \n",
      "Epoch 206/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1015 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0048e-04 - dense_4_loss_3: 0.0042 - dense_4_loss_4: 0.0095 - dense_4_loss_5: 9.8505e-05 - dense_4_loss_6: 0.0071 - dense_4_loss_7: 0.0420 - dense_4_loss_8: 1.3175e-04 - dense_4_loss_9: 0.0138 - dense_4_loss_10: 0.0228 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9987 - dense_4_acc_7: 0.9893 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9961    \n",
      "Epoch 207/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1011 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.9617e-04 - dense_4_loss_3: 0.0042 - dense_4_loss_4: 0.0095 - dense_4_loss_5: 9.3733e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0419 - dense_4_loss_8: 1.3168e-04 - dense_4_loss_9: 0.0139 - dense_4_loss_10: 0.0225 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9897 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9970 - dense_4_acc_10: 0.9960    \n",
      "Epoch 208/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1009 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0265e-04 - dense_4_loss_3: 0.0042 - dense_4_loss_4: 0.0094 - dense_4_loss_5: 9.8669e-05 - dense_4_loss_6: 0.0071 - dense_4_loss_7: 0.0420 - dense_4_loss_8: 1.2852e-04 - dense_4_loss_9: 0.0137 - dense_4_loss_10: 0.0225 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9891 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9974 - dense_4_acc_10: 0.9963    \n",
      "Epoch 209/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1004 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.9627e-04 - dense_4_loss_3: 0.0042 - dense_4_loss_4: 0.0094 - dense_4_loss_5: 9.2926e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0417 - dense_4_loss_8: 1.2597e-04 - dense_4_loss_9: 0.0137 - dense_4_loss_10: 0.0224 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9895 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9973 - dense_4_acc_10: 0.9960    \n",
      "Epoch 210/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.1000 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.8943e-04 - dense_4_loss_3: 0.0042 - dense_4_loss_4: 0.0094 - dense_4_loss_5: 9.0809e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0415 - dense_4_loss_8: 1.2973e-04 - dense_4_loss_9: 0.0137 - dense_4_loss_10: 0.0222 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9895 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9961    \n",
      "Epoch 211/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0991 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 4.0225e-04 - dense_4_loss_3: 0.0041 - dense_4_loss_4: 0.0093 - dense_4_loss_5: 1.0260e-04 - dense_4_loss_6: 0.0071 - dense_4_loss_7: 0.0412 - dense_4_loss_8: 1.2466e-04 - dense_4_loss_9: 0.0133 - dense_4_loss_10: 0.0221 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9898 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9975 - dense_4_acc_10: 0.9964    \n",
      "Epoch 212/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0987 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8248e-04 - dense_4_loss_3: 0.0041 - dense_4_loss_4: 0.0093 - dense_4_loss_5: 9.0412e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0410 - dense_4_loss_8: 1.2402e-04 - dense_4_loss_9: 0.0133 - dense_4_loss_10: 0.0221 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9904 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9964    \n",
      "Epoch 213/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0980 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.8941e-04 - dense_4_loss_3: 0.0041 - dense_4_loss_4: 0.0092 - dense_4_loss_5: 9.5912e-05 - dense_4_loss_6: 0.0069 - dense_4_loss_7: 0.0407 - dense_4_loss_8: 1.2756e-04 - dense_4_loss_9: 0.0133 - dense_4_loss_10: 0.0219 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9987 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9974 - dense_4_acc_10: 0.9961    \n",
      "Epoch 214/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0974 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.9071e-04 - dense_4_loss_3: 0.0041 - dense_4_loss_4: 0.0092 - dense_4_loss_5: 9.6751e-05 - dense_4_loss_6: 0.0068 - dense_4_loss_7: 0.0404 - dense_4_loss_8: 1.2407e-04 - dense_4_loss_9: 0.0133 - dense_4_loss_10: 0.0216 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9905 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9965    \n",
      "Epoch 215/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0974 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.9191e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0092 - dense_4_loss_5: 8.8699e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0406 - dense_4_loss_8: 1.2110e-04 - dense_4_loss_9: 0.0132 - dense_4_loss_10: 0.0216 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9900 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9962    \n",
      "Epoch 216/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0975 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8295e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0091 - dense_4_loss_5: 8.9405e-05 - dense_4_loss_6: 0.0070 - dense_4_loss_7: 0.0405 - dense_4_loss_8: 1.2353e-04 - dense_4_loss_9: 0.0133 - dense_4_loss_10: 0.0217 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9905 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9971 - dense_4_acc_10: 0.9964    \n",
      "Epoch 217/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0964 - dense_4_loss_1: 0.0014 - dense_4_loss_2: 3.8164e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0091 - dense_4_loss_5: 8.9282e-05 - dense_4_loss_6: 0.0067 - dense_4_loss_7: 0.0403 - dense_4_loss_8: 1.2037e-04 - dense_4_loss_9: 0.0131 - dense_4_loss_10: 0.0213 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9904 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9964    \n",
      "Epoch 218/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0961 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8899e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0090 - dense_4_loss_5: 8.5081e-05 - dense_4_loss_6: 0.0069 - dense_4_loss_7: 0.0398 - dense_4_loss_8: 1.2011e-04 - dense_4_loss_9: 0.0129 - dense_4_loss_10: 0.0215 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9975 - dense_4_acc_10: 0.9965    \n",
      "Epoch 219/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0953 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8119e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0090 - dense_4_loss_5: 9.1294e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0399 - dense_4_loss_8: 1.2120e-04 - dense_4_loss_9: 0.0128 - dense_4_loss_10: 0.0212 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9902 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9973 - dense_4_acc_10: 0.9964    \n",
      "Epoch 220/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0952 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8092e-04 - dense_4_loss_3: 0.0040 - dense_4_loss_4: 0.0089 - dense_4_loss_5: 8.5107e-05 - dense_4_loss_6: 0.0069 - dense_4_loss_7: 0.0395 - dense_4_loss_8: 1.2035e-04 - dense_4_loss_9: 0.0129 - dense_4_loss_10: 0.0210 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9983 - dense_4_acc_7: 0.9898 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9975 - dense_4_acc_10: 0.9964    \n",
      "Epoch 221/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0942 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.7835e-04 - dense_4_loss_3: 0.0039 - dense_4_loss_4: 0.0090 - dense_4_loss_5: 9.2497e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0393 - dense_4_loss_8: 1.1856e-04 - dense_4_loss_9: 0.0127 - dense_4_loss_10: 0.0208 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9901 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9975 - dense_4_acc_10: 0.9964    \n",
      "Epoch 222/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0939 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.8200e-04 - dense_4_loss_3: 0.0039 - dense_4_loss_4: 0.0089 - dense_4_loss_5: 8.6192e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0392 - dense_4_loss_8: 1.2055e-04 - dense_4_loss_9: 0.0127 - dense_4_loss_10: 0.0208 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9911 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9973 - dense_4_acc_10: 0.9964    \n",
      "Epoch 223/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0938 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.7337e-04 - dense_4_loss_3: 0.0039 - dense_4_loss_4: 0.0088 - dense_4_loss_5: 8.6811e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0391 - dense_4_loss_8: 1.1436e-04 - dense_4_loss_9: 0.0128 - dense_4_loss_10: 0.0208 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9982 - dense_4_acc_7: 0.9907 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9965    \n",
      "Epoch 224/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0931 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.7497e-04 - dense_4_loss_3: 0.0039 - dense_4_loss_4: 0.0088 - dense_4_loss_5: 8.3337e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0388 - dense_4_loss_8: 1.1696e-04 - dense_4_loss_9: 0.0126 - dense_4_loss_10: 0.0206 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9907 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9966    \n",
      "Epoch 225/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0927 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.6952e-04 - dense_4_loss_3: 0.0039 - dense_4_loss_4: 0.0088 - dense_4_loss_5: 8.9836e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0386 - dense_4_loss_8: 1.1757e-04 - dense_4_loss_9: 0.0125 - dense_4_loss_10: 0.0204 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9985 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9973 - dense_4_acc_10: 0.9970    \n",
      "Epoch 226/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0928 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.6943e-04 - dense_4_loss_3: 0.0038 - dense_4_loss_4: 0.0087 - dense_4_loss_5: 8.8294e-05 - dense_4_loss_6: 0.0066 - dense_4_loss_7: 0.0388 - dense_4_loss_8: 1.1359e-04 - dense_4_loss_9: 0.0125 - dense_4_loss_10: 0.0204 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9987 - dense_4_acc_7: 0.9910 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9972 - dense_4_acc_10: 0.9968    \n",
      "Epoch 227/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0916 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.6764e-04 - dense_4_loss_3: 0.0038 - dense_4_loss_4: 0.0087 - dense_4_loss_5: 8.6349e-05 - dense_4_loss_6: 0.0065 - dense_4_loss_7: 0.0382 - dense_4_loss_8: 1.1554e-04 - dense_4_loss_9: 0.0122 - dense_4_loss_10: 0.0203 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9984 - dense_4_acc_7: 0.9911 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9974 - dense_4_acc_10: 0.9964    \n",
      "Epoch 228/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0917 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.7105e-04 - dense_4_loss_3: 0.0038 - dense_4_loss_4: 0.0087 - dense_4_loss_5: 7.9986e-05 - dense_4_loss_6: 0.0064 - dense_4_loss_7: 0.0385 - dense_4_loss_8: 1.1513e-04 - dense_4_loss_9: 0.0121 - dense_4_loss_10: 0.0204 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9987 - dense_4_acc_7: 0.9910 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9966    \n",
      "Epoch 229/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0908 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.6619e-04 - dense_4_loss_3: 0.0038 - dense_4_loss_4: 0.0087 - dense_4_loss_5: 8.4713e-05 - dense_4_loss_6: 0.0063 - dense_4_loss_7: 0.0380 - dense_4_loss_8: 1.0878e-04 - dense_4_loss_9: 0.0121 - dense_4_loss_10: 0.0201 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9909 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9976 - dense_4_acc_10: 0.9968    \n",
      "Epoch 230/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0908 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.7476e-04 - dense_4_loss_3: 0.0038 - dense_4_loss_4: 0.0086 - dense_4_loss_5: 8.1197e-05 - dense_4_loss_6: 0.0064 - dense_4_loss_7: 0.0380 - dense_4_loss_8: 1.1316e-04 - dense_4_loss_9: 0.0121 - dense_4_loss_10: 0.0200 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9974    \n",
      "Epoch 231/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0901 - dense_4_loss_1: 0.0013 - dense_4_loss_2: 3.6610e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0086 - dense_4_loss_5: 8.7395e-05 - dense_4_loss_6: 0.0063 - dense_4_loss_7: 0.0376 - dense_4_loss_8: 1.1112e-04 - dense_4_loss_9: 0.0120 - dense_4_loss_10: 0.0200 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9985 - dense_4_acc_7: 0.9914 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9973 - dense_4_acc_10: 0.9969    \n",
      "Epoch 232/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0896 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5961e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0086 - dense_4_loss_5: 8.1808e-05 - dense_4_loss_6: 0.0062 - dense_4_loss_7: 0.0375 - dense_4_loss_8: 1.1082e-04 - dense_4_loss_9: 0.0120 - dense_4_loss_10: 0.0198 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9912 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9967    \n",
      "Epoch 233/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0893 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.6836e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0085 - dense_4_loss_5: 8.1713e-05 - dense_4_loss_6: 0.0063 - dense_4_loss_7: 0.0373 - dense_4_loss_8: 1.1438e-04 - dense_4_loss_9: 0.0120 - dense_4_loss_10: 0.0196 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9986 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9974 - dense_4_acc_10: 0.9967    \n",
      "Epoch 234/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0891 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5990e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0085 - dense_4_loss_5: 8.0226e-05 - dense_4_loss_6: 0.0062 - dense_4_loss_7: 0.0375 - dense_4_loss_8: 1.0984e-04 - dense_4_loss_9: 0.0118 - dense_4_loss_10: 0.0197 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9909 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9969    \n",
      "Epoch 235/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0884 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.6961e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0085 - dense_4_loss_5: 8.6971e-05 - dense_4_loss_6: 0.0062 - dense_4_loss_7: 0.0371 - dense_4_loss_8: 1.0998e-04 - dense_4_loss_9: 0.0117 - dense_4_loss_10: 0.0195 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9908 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9971    \n",
      "Epoch 236/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0882 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5789e-04 - dense_4_loss_3: 0.0037 - dense_4_loss_4: 0.0084 - dense_4_loss_5: 7.7145e-05 - dense_4_loss_6: 0.0062 - dense_4_loss_7: 0.0369 - dense_4_loss_8: 1.0544e-04 - dense_4_loss_9: 0.0118 - dense_4_loss_10: 0.0195 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9990 - dense_4_acc_7: 0.9912 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9966    \n",
      "Epoch 237/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0879 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5287e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0084 - dense_4_loss_5: 8.2812e-05 - dense_4_loss_6: 0.0061 - dense_4_loss_7: 0.0369 - dense_4_loss_8: 1.0923e-04 - dense_4_loss_9: 0.0118 - dense_4_loss_10: 0.0193 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9911 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9969    \n",
      "Epoch 238/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0873 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5857e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0083 - dense_4_loss_5: 8.4318e-05 - dense_4_loss_6: 0.0062 - dense_4_loss_7: 0.0367 - dense_4_loss_8: 1.0751e-04 - dense_4_loss_9: 0.0117 - dense_4_loss_10: 0.0190 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9987 - dense_4_acc_7: 0.9914 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9967    \n",
      "Epoch 239/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0870 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5558e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0084 - dense_4_loss_5: 7.4145e-05 - dense_4_loss_6: 0.0061 - dense_4_loss_7: 0.0362 - dense_4_loss_8: 1.0271e-04 - dense_4_loss_9: 0.0117 - dense_4_loss_10: 0.0192 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9913 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9976 - dense_4_acc_10: 0.9971    \n",
      "Epoch 240/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0868 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5542e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0083 - dense_4_loss_5: 8.5619e-05 - dense_4_loss_6: 0.0060 - dense_4_loss_7: 0.0365 - dense_4_loss_8: 1.1130e-04 - dense_4_loss_9: 0.0116 - dense_4_loss_10: 0.0190 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9990 - dense_4_acc_7: 0.9917 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9971    \n",
      "Epoch 241/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0860 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5915e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0082 - dense_4_loss_5: 8.0517e-05 - dense_4_loss_6: 0.0060 - dense_4_loss_7: 0.0361 - dense_4_loss_8: 1.0520e-04 - dense_4_loss_9: 0.0114 - dense_4_loss_10: 0.0190 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9917 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9970    \n",
      "Epoch 242/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0856 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5447e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0082 - dense_4_loss_5: 8.0709e-05 - dense_4_loss_6: 0.0060 - dense_4_loss_7: 0.0360 - dense_4_loss_8: 1.0571e-04 - dense_4_loss_9: 0.0113 - dense_4_loss_10: 0.0187 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9915 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9972    \n",
      "Epoch 243/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0858 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5093e-04 - dense_4_loss_3: 0.0036 - dense_4_loss_4: 0.0082 - dense_4_loss_5: 7.2809e-05 - dense_4_loss_6: 0.0059 - dense_4_loss_7: 0.0362 - dense_4_loss_8: 1.0354e-04 - dense_4_loss_9: 0.0113 - dense_4_loss_10: 0.0189 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9910 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9970    \n",
      "Epoch 244/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0849 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5515e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0081 - dense_4_loss_5: 7.7846e-05 - dense_4_loss_6: 0.0060 - dense_4_loss_7: 0.0358 - dense_4_loss_8: 1.0503e-04 - dense_4_loss_9: 0.0112 - dense_4_loss_10: 0.0186 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9918 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9972    \n",
      "Epoch 245/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0850 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4941e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0081 - dense_4_loss_5: 7.6968e-05 - dense_4_loss_6: 0.0059 - dense_4_loss_7: 0.0358 - dense_4_loss_8: 1.0340e-04 - dense_4_loss_9: 0.0113 - dense_4_loss_10: 0.0187 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9915 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9975 - dense_4_acc_10: 0.9969    \n",
      "Epoch 246/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0844 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.5736e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0081 - dense_4_loss_5: 7.7884e-05 - dense_4_loss_6: 0.0058 - dense_4_loss_7: 0.0355 - dense_4_loss_8: 1.0230e-04 - dense_4_loss_9: 0.0112 - dense_4_loss_10: 0.0185 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9912 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9970    \n",
      "Epoch 247/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0836 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4414e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0080 - dense_4_loss_5: 7.3278e-05 - dense_4_loss_6: 0.0058 - dense_4_loss_7: 0.0353 - dense_4_loss_8: 1.0092e-04 - dense_4_loss_9: 0.0110 - dense_4_loss_10: 0.0183 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9920 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9971    \n",
      "Epoch 248/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0839 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4811e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0081 - dense_4_loss_5: 7.6535e-05 - dense_4_loss_6: 0.0058 - dense_4_loss_7: 0.0356 - dense_4_loss_8: 1.0382e-04 - dense_4_loss_9: 0.0110 - dense_4_loss_10: 0.0182 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9990 - dense_4_acc_7: 0.9913 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9971    \n",
      "Epoch 249/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0836 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4787e-04 - dense_4_loss_3: 0.0035 - dense_4_loss_4: 0.0080 - dense_4_loss_5: 7.5234e-05 - dense_4_loss_6: 0.0058 - dense_4_loss_7: 0.0354 - dense_4_loss_8: 1.0279e-04 - dense_4_loss_9: 0.0110 - dense_4_loss_10: 0.0183 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9990 - dense_4_acc_7: 0.9920 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9977 - dense_4_acc_10: 0.9971    \n",
      "Epoch 250/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0825 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4183e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0080 - dense_4_loss_5: 7.7649e-05 - dense_4_loss_6: 0.0058 - dense_4_loss_7: 0.0348 - dense_4_loss_8: 1.0016e-04 - dense_4_loss_9: 0.0108 - dense_4_loss_10: 0.0180 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9990 - dense_4_acc_7: 0.9916 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9970    \n",
      "Epoch 251/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0826 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.3737e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0080 - dense_4_loss_5: 7.6841e-05 - dense_4_loss_6: 0.0057 - dense_4_loss_7: 0.0348 - dense_4_loss_8: 1.0340e-04 - dense_4_loss_9: 0.0110 - dense_4_loss_10: 0.0180 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9915 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9976 - dense_4_acc_10: 0.9971    \n",
      "Epoch 252/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0821 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.4285e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0079 - dense_4_loss_5: 7.1736e-05 - dense_4_loss_6: 0.0056 - dense_4_loss_7: 0.0349 - dense_4_loss_8: 1.0105e-04 - dense_4_loss_9: 0.0109 - dense_4_loss_10: 0.0178 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9913 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9973    \n",
      "Epoch 253/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0817 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.3977e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0079 - dense_4_loss_5: 7.8077e-05 - dense_4_loss_6: 0.0056 - dense_4_loss_7: 0.0346 - dense_4_loss_8: 9.9542e-05 - dense_4_loss_9: 0.0106 - dense_4_loss_10: 0.0179 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9921 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9974    \n",
      "Epoch 254/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0812 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.3688e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0079 - dense_4_loss_5: 7.3750e-05 - dense_4_loss_6: 0.0056 - dense_4_loss_7: 0.0342 - dense_4_loss_8: 9.8331e-05 - dense_4_loss_9: 0.0107 - dense_4_loss_10: 0.0177 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9988 - dense_4_acc_7: 0.9921 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9973    \n",
      "Epoch 255/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0811 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.4140e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0078 - dense_4_loss_5: 6.9790e-05 - dense_4_loss_6: 0.0056 - dense_4_loss_7: 0.0343 - dense_4_loss_8: 9.6290e-05 - dense_4_loss_9: 0.0106 - dense_4_loss_10: 0.0177 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9989 - dense_4_acc_7: 0.9919 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9976 - dense_4_acc_10: 0.9975    \n",
      "Epoch 256/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0807 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.3763e-04 - dense_4_loss_3: 0.0034 - dense_4_loss_4: 0.0078 - dense_4_loss_5: 7.3347e-05 - dense_4_loss_6: 0.0057 - dense_4_loss_7: 0.0341 - dense_4_loss_8: 9.6804e-05 - dense_4_loss_9: 0.0106 - dense_4_loss_10: 0.0175 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9920 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9978 - dense_4_acc_10: 0.9975    \n",
      "Epoch 257/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0800 - dense_4_loss_1: 0.0012 - dense_4_loss_2: 3.3192e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0078 - dense_4_loss_5: 6.9902e-05 - dense_4_loss_6: 0.0054 - dense_4_loss_7: 0.0340 - dense_4_loss_8: 9.7876e-05 - dense_4_loss_9: 0.0104 - dense_4_loss_10: 0.0174 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9920 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9972    \n",
      "Epoch 258/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0803 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.4188e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0077 - dense_4_loss_5: 6.9743e-05 - dense_4_loss_6: 0.0056 - dense_4_loss_7: 0.0340 - dense_4_loss_8: 9.6978e-05 - dense_4_loss_9: 0.0104 - dense_4_loss_10: 0.0175 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9919 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9972    \n",
      "Epoch 259/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0799 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.3656e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0078 - dense_4_loss_5: 6.8275e-05 - dense_4_loss_6: 0.0055 - dense_4_loss_7: 0.0339 - dense_4_loss_8: 9.8101e-05 - dense_4_loss_9: 0.0104 - dense_4_loss_10: 0.0174 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9919 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9972    \n",
      "Epoch 260/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0792 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.3091e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0077 - dense_4_loss_5: 6.9563e-05 - dense_4_loss_6: 0.0055 - dense_4_loss_7: 0.0335 - dense_4_loss_8: 9.6644e-05 - dense_4_loss_9: 0.0105 - dense_4_loss_10: 0.0172 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9922 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9976    \n",
      "Epoch 261/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0792 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.3517e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0077 - dense_4_loss_5: 7.3792e-05 - dense_4_loss_6: 0.0055 - dense_4_loss_7: 0.0335 - dense_4_loss_8: 9.7286e-05 - dense_4_loss_9: 0.0104 - dense_4_loss_10: 0.0171 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9922 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9974    \n",
      "Epoch 262/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0787 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.3645e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0077 - dense_4_loss_5: 7.0631e-05 - dense_4_loss_6: 0.0054 - dense_4_loss_7: 0.0335 - dense_4_loss_8: 9.4003e-05 - dense_4_loss_9: 0.0102 - dense_4_loss_10: 0.0170 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9922 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9974    \n",
      "Epoch 263/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0783 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2492e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0076 - dense_4_loss_5: 7.1749e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0333 - dense_4_loss_8: 9.4825e-05 - dense_4_loss_9: 0.0103 - dense_4_loss_10: 0.0169 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9923 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9975    \n",
      "Epoch 264/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0778 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2810e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0076 - dense_4_loss_5: 7.2436e-05 - dense_4_loss_6: 0.0054 - dense_4_loss_7: 0.0331 - dense_4_loss_8: 9.3428e-05 - dense_4_loss_9: 0.0102 - dense_4_loss_10: 0.0167 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9991 - dense_4_acc_7: 0.9925 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9975    \n",
      "Epoch 265/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0776 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2839e-04 - dense_4_loss_3: 0.0033 - dense_4_loss_4: 0.0076 - dense_4_loss_5: 6.9080e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0329 - dense_4_loss_8: 9.3556e-05 - dense_4_loss_9: 0.0100 - dense_4_loss_10: 0.0170 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9925 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9973    \n",
      "Epoch 266/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0773 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2524e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0075 - dense_4_loss_5: 7.4581e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0328 - dense_4_loss_8: 9.0617e-05 - dense_4_loss_9: 0.0101 - dense_4_loss_10: 0.0168 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9925 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9976    \n",
      "Epoch 267/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0772 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2445e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0075 - dense_4_loss_5: 7.1616e-05 - dense_4_loss_6: 0.0054 - dense_4_loss_7: 0.0328 - dense_4_loss_8: 9.5886e-05 - dense_4_loss_9: 0.0101 - dense_4_loss_10: 0.0166 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9928 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9977    \n",
      "Epoch 268/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0765 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2426e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0075 - dense_4_loss_5: 6.7173e-05 - dense_4_loss_6: 0.0052 - dense_4_loss_7: 0.0325 - dense_4_loss_8: 9.2739e-05 - dense_4_loss_9: 0.0099 - dense_4_loss_10: 0.0166 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9926 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9973    \n",
      "Epoch 269/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0764 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1956e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0074 - dense_4_loss_5: 7.1666e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0324 - dense_4_loss_8: 9.1916e-05 - dense_4_loss_9: 0.0100 - dense_4_loss_10: 0.0165 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9998 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9924 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9977    \n",
      "Epoch 270/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0760 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2548e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0074 - dense_4_loss_5: 6.6428e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0322 - dense_4_loss_8: 9.1097e-05 - dense_4_loss_9: 0.0098 - dense_4_loss_10: 0.0164 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9926 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9977    \n",
      "Epoch 271/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0758 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2460e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0074 - dense_4_loss_5: 6.8225e-05 - dense_4_loss_6: 0.0053 - dense_4_loss_7: 0.0324 - dense_4_loss_8: 9.1168e-05 - dense_4_loss_9: 0.0098 - dense_4_loss_10: 0.0163 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9924 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9976    \n",
      "Epoch 272/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0756 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2252e-04 - dense_4_loss_3: 0.0032 - dense_4_loss_4: 0.0074 - dense_4_loss_5: 6.8765e-05 - dense_4_loss_6: 0.0052 - dense_4_loss_7: 0.0322 - dense_4_loss_8: 9.1664e-05 - dense_4_loss_9: 0.0097 - dense_4_loss_10: 0.0163 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9927 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9976    \n",
      "Epoch 273/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0750 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.2280e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0073 - dense_4_loss_5: 7.1427e-05 - dense_4_loss_6: 0.0052 - dense_4_loss_7: 0.0319 - dense_4_loss_8: 9.0772e-05 - dense_4_loss_9: 0.0097 - dense_4_loss_10: 0.0162 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9929 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9976    \n",
      "Epoch 274/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0747 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1825e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0074 - dense_4_loss_5: 6.6968e-05 - dense_4_loss_6: 0.0051 - dense_4_loss_7: 0.0319 - dense_4_loss_8: 8.9391e-05 - dense_4_loss_9: 0.0096 - dense_4_loss_10: 0.0161 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9928 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9975     \n",
      "Epoch 275/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0747 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1904e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0073 - dense_4_loss_5: 6.8220e-05 - dense_4_loss_6: 0.0052 - dense_4_loss_7: 0.0318 - dense_4_loss_8: 9.0029e-05 - dense_4_loss_9: 0.0097 - dense_4_loss_10: 0.0161 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9931 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9976    \n",
      "Epoch 276/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0740 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1558e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0073 - dense_4_loss_5: 6.5299e-05 - dense_4_loss_6: 0.0051 - dense_4_loss_7: 0.0316 - dense_4_loss_8: 8.8960e-05 - dense_4_loss_9: 0.0095 - dense_4_loss_10: 0.0160 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9927 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9980 - dense_4_acc_10: 0.9977    \n",
      "Epoch 277/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0739 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1677e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0073 - dense_4_loss_5: 6.9895e-05 - dense_4_loss_6: 0.0051 - dense_4_loss_7: 0.0315 - dense_4_loss_8: 8.9497e-05 - dense_4_loss_9: 0.0095 - dense_4_loss_10: 0.0159 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9930 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9976    \n",
      "Epoch 278/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0739 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1442e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0073 - dense_4_loss_5: 6.6970e-05 - dense_4_loss_6: 0.0050 - dense_4_loss_7: 0.0315 - dense_4_loss_8: 8.9179e-05 - dense_4_loss_9: 0.0094 - dense_4_loss_10: 0.0160 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9929 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9978    \n",
      "Epoch 279/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0734 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1402e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0072 - dense_4_loss_5: 6.4773e-05 - dense_4_loss_6: 0.0052 - dense_4_loss_7: 0.0312 - dense_4_loss_8: 8.8826e-05 - dense_4_loss_9: 0.0094 - dense_4_loss_10: 0.0158 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9929 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9981    \n",
      "Epoch 280/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0732 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1669e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0072 - dense_4_loss_5: 6.7491e-05 - dense_4_loss_6: 0.0051 - dense_4_loss_7: 0.0313 - dense_4_loss_8: 8.9551e-05 - dense_4_loss_9: 0.0094 - dense_4_loss_10: 0.0157 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9930 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9979    \n",
      "Epoch 281/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0727 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.1218e-04 - dense_4_loss_3: 0.0031 - dense_4_loss_4: 0.0072 - dense_4_loss_5: 6.9240e-05 - dense_4_loss_6: 0.0050 - dense_4_loss_7: 0.0309 - dense_4_loss_8: 8.6614e-05 - dense_4_loss_9: 0.0094 - dense_4_loss_10: 0.0156 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9931 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9979 - dense_4_acc_10: 0.9979    \n",
      "Epoch 282/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0723 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0675e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0071 - dense_4_loss_5: 6.3804e-05 - dense_4_loss_6: 0.0049 - dense_4_loss_7: 0.0308 - dense_4_loss_8: 8.7402e-05 - dense_4_loss_9: 0.0093 - dense_4_loss_10: 0.0156 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9930 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9977    \n",
      "Epoch 283/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0723 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.1258e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0071 - dense_4_loss_5: 6.4831e-05 - dense_4_loss_6: 0.0049 - dense_4_loss_7: 0.0308 - dense_4_loss_8: 8.7005e-05 - dense_4_loss_9: 0.0092 - dense_4_loss_10: 0.0158 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9930 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9979    \n",
      "Epoch 284/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0718 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.1165e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0071 - dense_4_loss_5: 6.6320e-05 - dense_4_loss_6: 0.0050 - dense_4_loss_7: 0.0307 - dense_4_loss_8: 8.8801e-05 - dense_4_loss_9: 0.0093 - dense_4_loss_10: 0.0153 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9930 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9977    \n",
      "Epoch 285/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0716 - dense_4_loss_1: 0.0011 - dense_4_loss_2: 3.0756e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0071 - dense_4_loss_5: 6.5297e-05 - dense_4_loss_6: 0.0049 - dense_4_loss_7: 0.0306 - dense_4_loss_8: 8.6757e-05 - dense_4_loss_9: 0.0091 - dense_4_loss_10: 0.0153 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9928 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9978    \n",
      "Epoch 286/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0713 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0511e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0070 - dense_4_loss_5: 6.8146e-05 - dense_4_loss_6: 0.0049 - dense_4_loss_7: 0.0305 - dense_4_loss_8: 8.5444e-05 - dense_4_loss_9: 0.0091 - dense_4_loss_10: 0.0154 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9933 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9979    \n",
      "Epoch 287/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0708 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0806e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0070 - dense_4_loss_5: 6.4477e-05 - dense_4_loss_6: 0.0049 - dense_4_loss_7: 0.0303 - dense_4_loss_8: 8.3971e-05 - dense_4_loss_9: 0.0090 - dense_4_loss_10: 0.0151 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9929 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9981    \n",
      "Epoch 288/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0708 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.1141e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0070 - dense_4_loss_5: 6.2734e-05 - dense_4_loss_6: 0.0050 - dense_4_loss_7: 0.0303 - dense_4_loss_8: 8.2761e-05 - dense_4_loss_9: 0.0090 - dense_4_loss_10: 0.0151 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9933 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9979    \n",
      "Epoch 289/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0705 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 2.9944e-04 - dense_4_loss_3: 0.0030 - dense_4_loss_4: 0.0070 - dense_4_loss_5: 7.3339e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0302 - dense_4_loss_8: 8.5416e-05 - dense_4_loss_9: 0.0090 - dense_4_loss_10: 0.0150 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9934 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9984    \n",
      "Epoch 290/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0701 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0541e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0069 - dense_4_loss_5: 6.0888e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0299 - dense_4_loss_8: 8.4336e-05 - dense_4_loss_9: 0.0089 - dense_4_loss_10: 0.0151 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9935 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9982 - dense_4_acc_10: 0.9980    \n",
      "Epoch 291/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0700 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0412e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0070 - dense_4_loss_5: 6.0921e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0298 - dense_4_loss_8: 8.5898e-05 - dense_4_loss_9: 0.0090 - dense_4_loss_10: 0.0150 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9934 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9978    \n",
      "Epoch 292/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0697 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0169e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0069 - dense_4_loss_5: 6.0897e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0299 - dense_4_loss_8: 8.3971e-05 - dense_4_loss_9: 0.0089 - dense_4_loss_10: 0.0148 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9937 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9983    \n",
      "Epoch 293/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0695 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0266e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0069 - dense_4_loss_5: 5.8246e-05 - dense_4_loss_6: 0.0047 - dense_4_loss_7: 0.0299 - dense_4_loss_8: 8.0965e-05 - dense_4_loss_9: 0.0088 - dense_4_loss_10: 0.0149 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9935 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9981    \n",
      "Epoch 294/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0692 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0426e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0069 - dense_4_loss_5: 6.3394e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0296 - dense_4_loss_8: 8.3386e-05 - dense_4_loss_9: 0.0088 - dense_4_loss_10: 0.0148 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9933 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9981    \n",
      "Epoch 295/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0689 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0193e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0069 - dense_4_loss_5: 5.9698e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0295 - dense_4_loss_8: 8.3704e-05 - dense_4_loss_9: 0.0088 - dense_4_loss_10: 0.0147 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9934 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9981 - dense_4_acc_10: 0.9978        \n",
      "Epoch 296/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0685 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0115e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0068 - dense_4_loss_5: 6.4531e-05 - dense_4_loss_6: 0.0047 - dense_4_loss_7: 0.0293 - dense_4_loss_8: 8.3242e-05 - dense_4_loss_9: 0.0087 - dense_4_loss_10: 0.0146 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9993 - dense_4_acc_7: 0.9935 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9982    \n",
      "Epoch 297/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0689 - dense_4_loss_1: 9.9157e-04 - dense_4_loss_2: 2.9401e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0068 - dense_4_loss_5: 6.2268e-05 - dense_4_loss_6: 0.0048 - dense_4_loss_7: 0.0295 - dense_4_loss_8: 8.2577e-05 - dense_4_loss_9: 0.0088 - dense_4_loss_10: 0.0146 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9992 - dense_4_acc_7: 0.9933 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9980    \n",
      "Epoch 298/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0678 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 2.9677e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0068 - dense_4_loss_5: 6.1527e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0291 - dense_4_loss_8: 8.1383e-05 - dense_4_loss_9: 0.0086 - dense_4_loss_10: 0.0144 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9935 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9982        \n",
      "Epoch 299/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0678 - dense_4_loss_1: 0.0010 - dense_4_loss_2: 3.0068e-04 - dense_4_loss_3: 0.0029 - dense_4_loss_4: 0.0068 - dense_4_loss_5: 6.5974e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0291 - dense_4_loss_8: 8.3255e-05 - dense_4_loss_9: 0.0087 - dense_4_loss_10: 0.0144 - dense_4_acc_1: 0.9999 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9936 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9982    \n",
      "Epoch 300/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0675 - dense_4_loss_1: 9.8726e-04 - dense_4_loss_2: 2.9603e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0067 - dense_4_loss_5: 5.4980e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0290 - dense_4_loss_8: 7.8728e-05 - dense_4_loss_9: 0.0085 - dense_4_loss_10: 0.0144 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 0.9999 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9935 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9984    \n",
      "Epoch 301/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0671 - dense_4_loss_1: 9.8959e-04 - dense_4_loss_2: 2.9217e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0068 - dense_4_loss_5: 5.9372e-05 - dense_4_loss_6: 0.0045 - dense_4_loss_7: 0.0289 - dense_4_loss_8: 8.2532e-05 - dense_4_loss_9: 0.0084 - dense_4_loss_10: 0.0143 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9936 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9982    \n",
      "Epoch 302/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0669 - dense_4_loss_1: 9.7681e-04 - dense_4_loss_2: 2.9202e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0067 - dense_4_loss_5: 6.4960e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0288 - dense_4_loss_8: 8.0640e-05 - dense_4_loss_9: 0.0084 - dense_4_loss_10: 0.0141 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9937 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9980    \n",
      "Epoch 303/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0668 - dense_4_loss_1: 9.7558e-04 - dense_4_loss_2: 2.9530e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0067 - dense_4_loss_5: 5.9415e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0288 - dense_4_loss_8: 8.0314e-05 - dense_4_loss_9: 0.0084 - dense_4_loss_10: 0.0143 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9940 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9984    \n",
      "Epoch 304/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0667 - dense_4_loss_1: 9.7877e-04 - dense_4_loss_2: 2.9260e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0066 - dense_4_loss_5: 5.9048e-05 - dense_4_loss_6: 0.0046 - dense_4_loss_7: 0.0287 - dense_4_loss_8: 7.9912e-05 - dense_4_loss_9: 0.0084 - dense_4_loss_10: 0.0141 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9937 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9982    \n",
      "Epoch 305/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0663 - dense_4_loss_1: 9.7933e-04 - dense_4_loss_2: 2.9227e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0067 - dense_4_loss_5: 5.8371e-05 - dense_4_loss_6: 0.0045 - dense_4_loss_7: 0.0284 - dense_4_loss_8: 7.8404e-05 - dense_4_loss_9: 0.0083 - dense_4_loss_10: 0.0142 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9939 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9982    \n",
      "Epoch 306/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0661 - dense_4_loss_1: 9.7619e-04 - dense_4_loss_2: 2.9128e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0066 - dense_4_loss_5: 6.3517e-05 - dense_4_loss_6: 0.0045 - dense_4_loss_7: 0.0284 - dense_4_loss_8: 8.1247e-05 - dense_4_loss_9: 0.0083 - dense_4_loss_10: 0.0141 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9937 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9982    \n",
      "Epoch 307/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0657 - dense_4_loss_1: 9.6537e-04 - dense_4_loss_2: 2.9256e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0066 - dense_4_loss_5: 6.0363e-05 - dense_4_loss_6: 0.0045 - dense_4_loss_7: 0.0282 - dense_4_loss_8: 7.9540e-05 - dense_4_loss_9: 0.0082 - dense_4_loss_10: 0.0140 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9938 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9982    \n",
      "Epoch 308/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0654 - dense_4_loss_1: 9.8560e-04 - dense_4_loss_2: 2.8920e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0066 - dense_4_loss_5: 5.8268e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0281 - dense_4_loss_8: 7.7898e-05 - dense_4_loss_9: 0.0082 - dense_4_loss_10: 0.0139 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9939 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9983    \n",
      "Epoch 309/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0652 - dense_4_loss_1: 9.5644e-04 - dense_4_loss_2: 2.8671e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.9712e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0280 - dense_4_loss_8: 7.8515e-05 - dense_4_loss_9: 0.0083 - dense_4_loss_10: 0.0138 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9940 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9986    \n",
      "Epoch 310/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0650 - dense_4_loss_1: 9.5472e-04 - dense_4_loss_2: 2.8891e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.3857e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0279 - dense_4_loss_8: 7.9953e-05 - dense_4_loss_9: 0.0082 - dense_4_loss_10: 0.0139 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9938 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9982    \n",
      "Epoch 311/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0649 - dense_4_loss_1: 9.5544e-04 - dense_4_loss_2: 2.8972e-04 - dense_4_loss_3: 0.0028 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.9567e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0279 - dense_4_loss_8: 7.9807e-05 - dense_4_loss_9: 0.0082 - dense_4_loss_10: 0.0138 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9938 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9982    \n",
      "Epoch 312/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0644 - dense_4_loss_1: 9.4823e-04 - dense_4_loss_2: 2.8077e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.7162e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0278 - dense_4_loss_8: 7.7914e-05 - dense_4_loss_9: 0.0081 - dense_4_loss_10: 0.0136 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9942 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9985    \n",
      "Epoch 313/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0645 - dense_4_loss_1: 9.6334e-04 - dense_4_loss_2: 2.8224e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.9700e-05 - dense_4_loss_6: 0.0045 - dense_4_loss_7: 0.0277 - dense_4_loss_8: 7.9887e-05 - dense_4_loss_9: 0.0080 - dense_4_loss_10: 0.0137 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9940 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9983    \n",
      "Epoch 314/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0644 - dense_4_loss_1: 9.4709e-04 - dense_4_loss_2: 2.9185e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0065 - dense_4_loss_5: 5.4470e-05 - dense_4_loss_6: 0.0044 - dense_4_loss_7: 0.0279 - dense_4_loss_8: 7.8586e-05 - dense_4_loss_9: 0.0080 - dense_4_loss_10: 0.0136 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9941 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9984    \n",
      "Epoch 315/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0637 - dense_4_loss_1: 9.4548e-04 - dense_4_loss_2: 2.8516e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 5.4706e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0274 - dense_4_loss_8: 7.6681e-05 - dense_4_loss_9: 0.0080 - dense_4_loss_10: 0.0136 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9941 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9982    \n",
      "Epoch 316/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0635 - dense_4_loss_1: 9.4287e-04 - dense_4_loss_2: 2.8053e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 5.5539e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0274 - dense_4_loss_8: 7.5601e-05 - dense_4_loss_9: 0.0079 - dense_4_loss_10: 0.0134 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9941 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9985    \n",
      "Epoch 317/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0635 - dense_4_loss_1: 9.5040e-04 - dense_4_loss_2: 2.8508e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 5.3338e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0273 - dense_4_loss_8: 7.6132e-05 - dense_4_loss_9: 0.0080 - dense_4_loss_10: 0.0134 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9943 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9983 - dense_4_acc_10: 0.9983    \n",
      "Epoch 318/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0630 - dense_4_loss_1: 9.3803e-04 - dense_4_loss_2: 2.8114e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 5.5731e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0271 - dense_4_loss_8: 7.8034e-05 - dense_4_loss_9: 0.0079 - dense_4_loss_10: 0.0133 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9984    \n",
      "Epoch 319/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0628 - dense_4_loss_1: 9.4561e-04 - dense_4_loss_2: 2.8264e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 6.1650e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0271 - dense_4_loss_8: 7.7066e-05 - dense_4_loss_9: 0.0078 - dense_4_loss_10: 0.0133 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9942 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9985    \n",
      "Epoch 320/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0626 - dense_4_loss_1: 9.3823e-04 - dense_4_loss_2: 2.8215e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0064 - dense_4_loss_5: 5.4407e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0269 - dense_4_loss_8: 7.5398e-05 - dense_4_loss_9: 0.0078 - dense_4_loss_10: 0.0133 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9983    \n",
      "Epoch 321/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0624 - dense_4_loss_1: 9.2651e-04 - dense_4_loss_2: 2.7994e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0063 - dense_4_loss_5: 5.5634e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0269 - dense_4_loss_8: 7.4310e-05 - dense_4_loss_9: 0.0078 - dense_4_loss_10: 0.0132 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9983    \n",
      "Epoch 322/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0622 - dense_4_loss_1: 9.2250e-04 - dense_4_loss_2: 2.7759e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0063 - dense_4_loss_5: 5.6070e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0267 - dense_4_loss_8: 7.4739e-05 - dense_4_loss_9: 0.0078 - dense_4_loss_10: 0.0131 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9942 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9984 - dense_4_acc_10: 0.9986    \n",
      "Epoch 323/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0623 - dense_4_loss_1: 9.3180e-04 - dense_4_loss_2: 2.8004e-04 - dense_4_loss_3: 0.0027 - dense_4_loss_4: 0.0063 - dense_4_loss_5: 5.0905e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0269 - dense_4_loss_8: 7.3547e-05 - dense_4_loss_9: 0.0078 - dense_4_loss_10: 0.0131 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9994 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9984    \n",
      "Epoch 324/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0618 - dense_4_loss_1: 9.3377e-04 - dense_4_loss_2: 2.7874e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0063 - dense_4_loss_5: 5.4879e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0265 - dense_4_loss_8: 7.4887e-05 - dense_4_loss_9: 0.0077 - dense_4_loss_10: 0.0130 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9943 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9983    \n",
      "Epoch 325/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0617 - dense_4_loss_1: 9.1661e-04 - dense_4_loss_2: 2.7593e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0063 - dense_4_loss_5: 5.3325e-05 - dense_4_loss_6: 0.0043 - dense_4_loss_7: 0.0266 - dense_4_loss_8: 7.5513e-05 - dense_4_loss_9: 0.0077 - dense_4_loss_10: 0.0130 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9942 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9986    \n",
      "Epoch 326/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0613 - dense_4_loss_1: 9.0123e-04 - dense_4_loss_2: 2.7583e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0062 - dense_4_loss_5: 5.2417e-05 - dense_4_loss_6: 0.0041 - dense_4_loss_7: 0.0264 - dense_4_loss_8: 7.3560e-05 - dense_4_loss_9: 0.0076 - dense_4_loss_10: 0.0130 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9941 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9985    \n",
      "Epoch 327/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0613 - dense_4_loss_1: 9.1591e-04 - dense_4_loss_2: 2.7549e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0062 - dense_4_loss_5: 5.6032e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0265 - dense_4_loss_8: 7.3765e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0129 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9984    \n",
      "Epoch 328/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0608 - dense_4_loss_1: 9.1664e-04 - dense_4_loss_2: 2.7671e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0062 - dense_4_loss_5: 5.4148e-05 - dense_4_loss_6: 0.0042 - dense_4_loss_7: 0.0263 - dense_4_loss_8: 7.5013e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0127 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9945 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9986    \n",
      "Epoch 329/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0606 - dense_4_loss_1: 9.1218e-04 - dense_4_loss_2: 2.7466e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0062 - dense_4_loss_5: 5.1643e-05 - dense_4_loss_6: 0.0041 - dense_4_loss_7: 0.0260 - dense_4_loss_8: 7.1619e-05 - dense_4_loss_9: 0.0076 - dense_4_loss_10: 0.0128 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9945 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9985    \n",
      "Epoch 330/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0604 - dense_4_loss_1: 9.0722e-04 - dense_4_loss_2: 2.7068e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0062 - dense_4_loss_5: 5.8712e-05 - dense_4_loss_6: 0.0041 - dense_4_loss_7: 0.0262 - dense_4_loss_8: 7.2715e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0127 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9986    \n",
      "Epoch 331/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0601 - dense_4_loss_1: 9.0102e-04 - dense_4_loss_2: 2.7057e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.1307e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0259 - dense_4_loss_8: 7.2595e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0127 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9985    \n",
      "Epoch 332/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0600 - dense_4_loss_1: 9.0227e-04 - dense_4_loss_2: 2.7156e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.2275e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0259 - dense_4_loss_8: 7.1200e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0126 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9995 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9985 - dense_4_acc_10: 0.9985    \n",
      "Epoch 333/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0598 - dense_4_loss_1: 8.9138e-04 - dense_4_loss_2: 2.6925e-04 - dense_4_loss_3: 0.0026 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.2106e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0258 - dense_4_loss_8: 7.3205e-05 - dense_4_loss_9: 0.0075 - dense_4_loss_10: 0.0125 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9946 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9986 - dense_4_acc_10: 0.9989    \n",
      "Epoch 334/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0594 - dense_4_loss_1: 8.8595e-04 - dense_4_loss_2: 2.7069e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.2822e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0256 - dense_4_loss_8: 7.0611e-05 - dense_4_loss_9: 0.0073 - dense_4_loss_10: 0.0126 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9945 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9986    \n",
      "Epoch 335/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0593 - dense_4_loss_1: 9.0381e-04 - dense_4_loss_2: 2.7016e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.3177e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0258 - dense_4_loss_8: 7.1436e-05 - dense_4_loss_9: 0.0072 - dense_4_loss_10: 0.0124 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9944 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9988    \n",
      "Epoch 336/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0592 - dense_4_loss_1: 8.9180e-04 - dense_4_loss_2: 2.7158e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.3615e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0256 - dense_4_loss_8: 7.0914e-05 - dense_4_loss_9: 0.0073 - dense_4_loss_10: 0.0124 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9988    \n",
      "Epoch 337/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0589 - dense_4_loss_1: 8.8741e-04 - dense_4_loss_2: 2.6858e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0061 - dense_4_loss_5: 5.0094e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0254 - dense_4_loss_8: 7.1372e-05 - dense_4_loss_9: 0.0073 - dense_4_loss_10: 0.0123 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9987    \n",
      "Epoch 338/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0589 - dense_4_loss_1: 8.8476e-04 - dense_4_loss_2: 2.6732e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 5.2088e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0255 - dense_4_loss_8: 6.8925e-05 - dense_4_loss_9: 0.0072 - dense_4_loss_10: 0.0124 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9943 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9988    \n",
      "Epoch 339/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0584 - dense_4_loss_1: 8.8069e-04 - dense_4_loss_2: 2.6621e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 5.2836e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0252 - dense_4_loss_8: 7.1454e-05 - dense_4_loss_9: 0.0072 - dense_4_loss_10: 0.0122 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9984    \n",
      "Epoch 340/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0583 - dense_4_loss_1: 8.8842e-04 - dense_4_loss_2: 2.6800e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 5.1266e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0252 - dense_4_loss_8: 7.0083e-05 - dense_4_loss_9: 0.0073 - dense_4_loss_10: 0.0122 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9988    \n",
      "Epoch 341/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0583 - dense_4_loss_1: 8.7783e-04 - dense_4_loss_2: 2.6723e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 4.9835e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0251 - dense_4_loss_8: 7.0535e-05 - dense_4_loss_9: 0.0072 - dense_4_loss_10: 0.0123 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9986    \n",
      "Epoch 342/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0581 - dense_4_loss_1: 8.8474e-04 - dense_4_loss_2: 2.6300e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 5.0053e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0252 - dense_4_loss_8: 6.9995e-05 - dense_4_loss_9: 0.0071 - dense_4_loss_10: 0.0122 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9945 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9987    \n",
      "Epoch 343/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0583 - dense_4_loss_1: 8.7365e-04 - dense_4_loss_2: 2.6465e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0060 - dense_4_loss_5: 5.0130e-05 - dense_4_loss_6: 0.0040 - dense_4_loss_7: 0.0252 - dense_4_loss_8: 7.0223e-05 - dense_4_loss_9: 0.0072 - dense_4_loss_10: 0.0121 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9987    \n",
      "Epoch 344/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0576 - dense_4_loss_1: 8.6112e-04 - dense_4_loss_2: 2.6476e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0059 - dense_4_loss_5: 4.8069e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0248 - dense_4_loss_8: 6.8499e-05 - dense_4_loss_9: 0.0071 - dense_4_loss_10: 0.0121 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9989    \n",
      "Epoch 345/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0574 - dense_4_loss_1: 8.8504e-04 - dense_4_loss_2: 2.6319e-04 - dense_4_loss_3: 0.0025 - dense_4_loss_4: 0.0059 - dense_4_loss_5: 5.0551e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0248 - dense_4_loss_8: 7.0511e-05 - dense_4_loss_9: 0.0071 - dense_4_loss_10: 0.0120 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9949 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9989    \n",
      "Epoch 346/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0572 - dense_4_loss_1: 8.6536e-04 - dense_4_loss_2: 2.6018e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0059 - dense_4_loss_5: 4.6993e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0248 - dense_4_loss_8: 6.8855e-05 - dense_4_loss_9: 0.0071 - dense_4_loss_10: 0.0119 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9946 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9987    \n",
      "Epoch 347/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0568 - dense_4_loss_1: 8.7153e-04 - dense_4_loss_2: 2.5959e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0059 - dense_4_loss_5: 5.2463e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0245 - dense_4_loss_8: 6.8918e-05 - dense_4_loss_9: 0.0069 - dense_4_loss_10: 0.0119 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9950 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9990    \n",
      "Epoch 348/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0567 - dense_4_loss_1: 8.5744e-04 - dense_4_loss_2: 2.5893e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0059 - dense_4_loss_5: 4.9089e-05 - dense_4_loss_6: 0.0039 - dense_4_loss_7: 0.0246 - dense_4_loss_8: 7.0326e-05 - dense_4_loss_9: 0.0069 - dense_4_loss_10: 0.0118 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9996 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9990    \n",
      "Epoch 349/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0566 - dense_4_loss_1: 8.6269e-04 - dense_4_loss_2: 2.5992e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 5.0226e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0245 - dense_4_loss_8: 6.9912e-05 - dense_4_loss_9: 0.0070 - dense_4_loss_10: 0.0118 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9947 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9987    \n",
      "Epoch 350/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0564 - dense_4_loss_1: 8.5886e-04 - dense_4_loss_2: 2.6162e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 4.7906e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0244 - dense_4_loss_8: 6.8354e-05 - dense_4_loss_9: 0.0069 - dense_4_loss_10: 0.0118 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9988    \n",
      "Epoch 351/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0561 - dense_4_loss_1: 8.5078e-04 - dense_4_loss_2: 2.5716e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 5.0052e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0243 - dense_4_loss_8: 6.7386e-05 - dense_4_loss_9: 0.0069 - dense_4_loss_10: 0.0117 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9950 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9991    \n",
      "Epoch 352/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0562 - dense_4_loss_1: 8.3532e-04 - dense_4_loss_2: 2.5949e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 4.9450e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0243 - dense_4_loss_8: 6.7879e-05 - dense_4_loss_9: 0.0068 - dense_4_loss_10: 0.0117 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9990    \n",
      "Epoch 353/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0558 - dense_4_loss_1: 8.5826e-04 - dense_4_loss_2: 2.5441e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 5.0549e-05 - dense_4_loss_6: 0.0038 - dense_4_loss_7: 0.0241 - dense_4_loss_8: 6.8649e-05 - dense_4_loss_9: 0.0068 - dense_4_loss_10: 0.0116 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9951 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9989    \n",
      "Epoch 354/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0556 - dense_4_loss_1: 8.4484e-04 - dense_4_loss_2: 2.6115e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 4.9646e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0241 - dense_4_loss_8: 6.7179e-05 - dense_4_loss_9: 0.0068 - dense_4_loss_10: 0.0116 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9946 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9987 - dense_4_acc_10: 0.9990    \n",
      "Epoch 355/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0555 - dense_4_loss_1: 8.5005e-04 - dense_4_loss_2: 2.5567e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 4.8473e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0241 - dense_4_loss_8: 6.8220e-05 - dense_4_loss_9: 0.0068 - dense_4_loss_10: 0.0115 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9951 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9989    \n",
      "Epoch 356/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0553 - dense_4_loss_1: 8.3137e-04 - dense_4_loss_2: 2.5637e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0058 - dense_4_loss_5: 4.6516e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0239 - dense_4_loss_8: 6.8462e-05 - dense_4_loss_9: 0.0068 - dense_4_loss_10: 0.0115 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9953 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9988    \n",
      "Epoch 357/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0550 - dense_4_loss_1: 8.3793e-04 - dense_4_loss_2: 2.5353e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.9356e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0237 - dense_4_loss_8: 6.6330e-05 - dense_4_loss_9: 0.0067 - dense_4_loss_10: 0.0115 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9990    \n",
      "Epoch 358/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0547 - dense_4_loss_1: 8.3701e-04 - dense_4_loss_2: 2.5532e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.7939e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0238 - dense_4_loss_8: 6.5902e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0115 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9948 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9989    \n",
      "Epoch 359/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0547 - dense_4_loss_1: 8.2822e-04 - dense_4_loss_2: 2.5484e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.6013e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0237 - dense_4_loss_8: 6.7378e-05 - dense_4_loss_9: 0.0067 - dense_4_loss_10: 0.0114 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9950 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 360/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0544 - dense_4_loss_1: 8.3208e-04 - dense_4_loss_2: 2.5327e-04 - dense_4_loss_3: 0.0024 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.7832e-05 - dense_4_loss_6: 0.0037 - dense_4_loss_7: 0.0235 - dense_4_loss_8: 6.5946e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0114 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9951 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9988    \n",
      "Epoch 361/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0542 - dense_4_loss_1: 8.2871e-04 - dense_4_loss_2: 2.5270e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 5.0168e-05 - dense_4_loss_6: 0.0036 - dense_4_loss_7: 0.0236 - dense_4_loss_8: 6.5437e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0112 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9949 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9994    \n",
      "Epoch 362/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0541 - dense_4_loss_1: 8.3132e-04 - dense_4_loss_2: 2.5122e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.5285e-05 - dense_4_loss_6: 0.0036 - dense_4_loss_7: 0.0235 - dense_4_loss_8: 6.5933e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0113 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9956 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9991    \n",
      "Epoch 363/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0540 - dense_4_loss_1: 8.1042e-04 - dense_4_loss_2: 2.5227e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 4.6393e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0235 - dense_4_loss_8: 6.6780e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0113 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9949 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 364/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0541 - dense_4_loss_1: 8.2346e-04 - dense_4_loss_2: 2.5111e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0057 - dense_4_loss_5: 4.9217e-05 - dense_4_loss_6: 0.0036 - dense_4_loss_7: 0.0235 - dense_4_loss_8: 6.5949e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0113 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9953 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9990    \n",
      "Epoch 365/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0536 - dense_4_loss_1: 8.2647e-04 - dense_4_loss_2: 2.5079e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 4.7005e-05 - dense_4_loss_6: 0.0036 - dense_4_loss_7: 0.0232 - dense_4_loss_8: 6.5100e-05 - dense_4_loss_9: 0.0066 - dense_4_loss_10: 0.0111 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9950 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9990    \n",
      "Epoch 366/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0533 - dense_4_loss_1: 8.1615e-04 - dense_4_loss_2: 2.4971e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 4.7223e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0231 - dense_4_loss_8: 6.5005e-05 - dense_4_loss_9: 0.0065 - dense_4_loss_10: 0.0111 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9991    \n",
      "Epoch 367/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0532 - dense_4_loss_1: 8.1463e-04 - dense_4_loss_2: 2.5282e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 4.7035e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0231 - dense_4_loss_8: 6.4864e-05 - dense_4_loss_9: 0.0065 - dense_4_loss_10: 0.0111 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9988 - dense_4_acc_10: 0.9991    \n",
      "Epoch 368/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0531 - dense_4_loss_1: 8.0223e-04 - dense_4_loss_2: 2.4899e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.3252e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0230 - dense_4_loss_8: 6.3855e-05 - dense_4_loss_9: 0.0065 - dense_4_loss_10: 0.0111 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9956 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9991    \n",
      "Epoch 369/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0529 - dense_4_loss_1: 8.1420e-04 - dense_4_loss_2: 2.4828e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0056 - dense_4_loss_5: 4.5949e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0230 - dense_4_loss_8: 6.5892e-05 - dense_4_loss_9: 0.0064 - dense_4_loss_10: 0.0110 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9955 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9992    \n",
      "Epoch 370/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0528 - dense_4_loss_1: 8.0375e-04 - dense_4_loss_2: 2.4577e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.4437e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0230 - dense_4_loss_8: 6.3406e-05 - dense_4_loss_9: 0.0064 - dense_4_loss_10: 0.0109 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9989 - dense_4_acc_10: 0.9993    \n",
      "Epoch 371/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0525 - dense_4_loss_1: 8.0406e-04 - dense_4_loss_2: 2.4533e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.4507e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0228 - dense_4_loss_8: 6.3513e-05 - dense_4_loss_9: 0.0063 - dense_4_loss_10: 0.0109 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9951 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9992    \n",
      "Epoch 372/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0526 - dense_4_loss_1: 8.0071e-04 - dense_4_loss_2: 2.4720e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.8883e-05 - dense_4_loss_6: 0.0036 - dense_4_loss_7: 0.0228 - dense_4_loss_8: 6.5222e-05 - dense_4_loss_9: 0.0064 - dense_4_loss_10: 0.0110 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9953 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 373/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0521 - dense_4_loss_1: 7.9670e-04 - dense_4_loss_2: 2.4206e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.4500e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0225 - dense_4_loss_8: 6.3479e-05 - dense_4_loss_9: 0.0063 - dense_4_loss_10: 0.0109 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9990 - dense_4_acc_10: 0.9991    \n",
      "Epoch 374/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0521 - dense_4_loss_1: 7.9514e-04 - dense_4_loss_2: 2.4143e-04 - dense_4_loss_3: 0.0023 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.3666e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0227 - dense_4_loss_8: 6.3816e-05 - dense_4_loss_9: 0.0063 - dense_4_loss_10: 0.0108 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9956 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9991    \n",
      "Epoch 375/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0518 - dense_4_loss_1: 7.9336e-04 - dense_4_loss_2: 2.4460e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.4176e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0225 - dense_4_loss_8: 6.2603e-05 - dense_4_loss_9: 0.0063 - dense_4_loss_10: 0.0108 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9956 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9992    \n",
      "Epoch 376/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0516 - dense_4_loss_1: 7.9705e-04 - dense_4_loss_2: 2.4048e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0055 - dense_4_loss_5: 4.3349e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0225 - dense_4_loss_8: 6.3252e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0107 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9993    \n",
      "Epoch 377/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0516 - dense_4_loss_1: 7.9607e-04 - dense_4_loss_2: 2.4522e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.4973e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0223 - dense_4_loss_8: 6.3601e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0107 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9954 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9993    \n",
      "Epoch 378/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0513 - dense_4_loss_1: 7.8401e-04 - dense_4_loss_2: 2.4535e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.5353e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0223 - dense_4_loss_8: 6.1951e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0106 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9952 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9992    \n",
      "Epoch 379/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0513 - dense_4_loss_1: 7.8842e-04 - dense_4_loss_2: 2.4181e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.6018e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0222 - dense_4_loss_8: 6.3504e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0107 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9959 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9993    \n",
      "Epoch 380/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0512 - dense_4_loss_1: 7.8457e-04 - dense_4_loss_2: 2.4188e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.4719e-05 - dense_4_loss_6: 0.0035 - dense_4_loss_7: 0.0222 - dense_4_loss_8: 6.1047e-05 - dense_4_loss_9: 0.0061 - dense_4_loss_10: 0.0107 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9958 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9993    \n",
      "Epoch 381/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0510 - dense_4_loss_1: 7.8964e-04 - dense_4_loss_2: 2.3962e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.3654e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0222 - dense_4_loss_8: 6.1980e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0106 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9954 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9992    \n",
      "Epoch 382/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0507 - dense_4_loss_1: 7.7954e-04 - dense_4_loss_2: 2.4151e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.7907e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0220 - dense_4_loss_8: 6.2836e-05 - dense_4_loss_9: 0.0061 - dense_4_loss_10: 0.0105 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9956 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 383/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0505 - dense_4_loss_1: 7.8455e-04 - dense_4_loss_2: 2.4195e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0054 - dense_4_loss_5: 4.3203e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0220 - dense_4_loss_8: 6.0856e-05 - dense_4_loss_9: 0.0061 - dense_4_loss_10: 0.0105 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9958 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 384/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0505 - dense_4_loss_1: 7.8478e-04 - dense_4_loss_2: 2.3749e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.2703e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0219 - dense_4_loss_8: 6.2547e-05 - dense_4_loss_9: 0.0062 - dense_4_loss_10: 0.0104 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9958 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 385/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0504 - dense_4_loss_1: 7.7801e-04 - dense_4_loss_2: 2.3952e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.5154e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0219 - dense_4_loss_8: 6.0379e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0105 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9957 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 386/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0501 - dense_4_loss_1: 7.7536e-04 - dense_4_loss_2: 2.3617e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.4569e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0218 - dense_4_loss_8: 6.1745e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0104 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9955 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 387/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0499 - dense_4_loss_1: 7.7687e-04 - dense_4_loss_2: 2.3772e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.1677e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0216 - dense_4_loss_8: 6.1101e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0104 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9957 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9992    \n",
      "Epoch 388/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0500 - dense_4_loss_1: 7.7129e-04 - dense_4_loss_2: 2.3632e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.0806e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0218 - dense_4_loss_8: 6.1201e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0103 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9958 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 389/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0497 - dense_4_loss_1: 7.6591e-04 - dense_4_loss_2: 2.3989e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.3559e-05 - dense_4_loss_6: 0.0034 - dense_4_loss_7: 0.0216 - dense_4_loss_8: 6.1484e-05 - dense_4_loss_9: 0.0059 - dense_4_loss_10: 0.0103 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9955 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9993    \n",
      "Epoch 390/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0495 - dense_4_loss_1: 7.6462e-04 - dense_4_loss_2: 2.3731e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.3171e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0214 - dense_4_loss_8: 6.0829e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0102 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9959 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9991 - dense_4_acc_10: 0.9993    \n",
      "Epoch 391/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0493 - dense_4_loss_1: 7.5990e-04 - dense_4_loss_2: 2.3575e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.4156e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0214 - dense_4_loss_8: 6.1473e-05 - dense_4_loss_9: 0.0059 - dense_4_loss_10: 0.0102 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9992    \n",
      "Epoch 392/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0492 - dense_4_loss_1: 7.6169e-04 - dense_4_loss_2: 2.3362e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0053 - dense_4_loss_5: 4.1438e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0214 - dense_4_loss_8: 5.8942e-05 - dense_4_loss_9: 0.0060 - dense_4_loss_10: 0.0102 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9954 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9993    \n",
      "Epoch 393/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0488 - dense_4_loss_1: 7.5469e-04 - dense_4_loss_2: 2.3654e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.2850e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0213 - dense_4_loss_8: 6.0603e-05 - dense_4_loss_9: 0.0059 - dense_4_loss_10: 0.0100 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9957 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 394/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0489 - dense_4_loss_1: 7.5537e-04 - dense_4_loss_2: 2.3323e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.6976e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0212 - dense_4_loss_8: 6.0966e-05 - dense_4_loss_9: 0.0058 - dense_4_loss_10: 0.0101 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9958 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 395/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0488 - dense_4_loss_1: 7.5892e-04 - dense_4_loss_2: 2.3722e-04 - dense_4_loss_3: 0.0022 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.2695e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0211 - dense_4_loss_8: 5.8517e-05 - dense_4_loss_9: 0.0058 - dense_4_loss_10: 0.0101 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9992    \n",
      "Epoch 396/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0486 - dense_4_loss_1: 7.4917e-04 - dense_4_loss_2: 2.3353e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.3982e-05 - dense_4_loss_6: 0.0033 - dense_4_loss_7: 0.0210 - dense_4_loss_8: 6.0657e-05 - dense_4_loss_9: 0.0058 - dense_4_loss_10: 0.0101 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 397/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0484 - dense_4_loss_1: 7.4824e-04 - dense_4_loss_2: 2.3087e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.3067e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0210 - dense_4_loss_8: 5.7881e-05 - dense_4_loss_9: 0.0058 - dense_4_loss_10: 0.0100 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9992    \n",
      "Epoch 398/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0482 - dense_4_loss_1: 7.4790e-04 - dense_4_loss_2: 2.3412e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0052 - dense_4_loss_5: 4.1793e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0210 - dense_4_loss_8: 5.9311e-05 - dense_4_loss_9: 0.0057 - dense_4_loss_10: 0.0099 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9993    \n",
      "Epoch 399/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0482 - dense_4_loss_1: 7.4497e-04 - dense_4_loss_2: 2.2891e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.0637e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0209 - dense_4_loss_8: 5.9199e-05 - dense_4_loss_9: 0.0058 - dense_4_loss_10: 0.0099 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9963 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 400/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0479 - dense_4_loss_1: 7.4052e-04 - dense_4_loss_2: 2.3228e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.4001e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0208 - dense_4_loss_8: 5.9049e-05 - dense_4_loss_9: 0.0057 - dense_4_loss_10: 0.0099 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 401/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0476 - dense_4_loss_1: 7.3947e-04 - dense_4_loss_2: 2.3078e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.1082e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0208 - dense_4_loss_8: 5.9306e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0098 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 402/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0477 - dense_4_loss_1: 7.4062e-04 - dense_4_loss_2: 2.2709e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.2909e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0207 - dense_4_loss_8: 5.8008e-05 - dense_4_loss_9: 0.0057 - dense_4_loss_10: 0.0098 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9964 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 403/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0475 - dense_4_loss_1: 7.3971e-04 - dense_4_loss_2: 2.3185e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.4164e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0206 - dense_4_loss_8: 5.8642e-05 - dense_4_loss_9: 0.0057 - dense_4_loss_10: 0.0097 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9959 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9993    \n",
      "Epoch 404/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0473 - dense_4_loss_1: 7.3595e-04 - dense_4_loss_2: 2.3068e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.1591e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0205 - dense_4_loss_8: 5.7178e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0098 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9962 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9993    \n",
      "Epoch 405/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0473 - dense_4_loss_1: 7.4555e-04 - dense_4_loss_2: 2.2827e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.3974e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0206 - dense_4_loss_8: 5.8291e-05 - dense_4_loss_9: 0.0057 - dense_4_loss_10: 0.0097 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9997 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9994    \n",
      "Epoch 406/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0471 - dense_4_loss_1: 7.3037e-04 - dense_4_loss_2: 2.3003e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 3.9670e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0204 - dense_4_loss_8: 5.9162e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0097 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9992 - dense_4_acc_10: 0.9993    \n",
      "Epoch 407/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0469 - dense_4_loss_1: 7.2740e-04 - dense_4_loss_2: 2.2857e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0051 - dense_4_loss_5: 4.1255e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0204 - dense_4_loss_8: 5.7254e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0096 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9962 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9993    \n",
      "Epoch 408/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0468 - dense_4_loss_1: 7.2649e-04 - dense_4_loss_2: 2.2637e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.3617e-05 - dense_4_loss_6: 0.0032 - dense_4_loss_7: 0.0203 - dense_4_loss_8: 5.8063e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0097 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 409/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0467 - dense_4_loss_1: 7.3057e-04 - dense_4_loss_2: 2.2905e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.1948e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0203 - dense_4_loss_8: 5.7724e-05 - dense_4_loss_9: 0.0055 - dense_4_loss_10: 0.0095 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9963 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 410/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0465 - dense_4_loss_1: 7.2520e-04 - dense_4_loss_2: 2.2418e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.1445e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0203 - dense_4_loss_8: 5.6912e-05 - dense_4_loss_9: 0.0056 - dense_4_loss_10: 0.0095 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9964 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 411/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0462 - dense_4_loss_1: 7.2124e-04 - dense_4_loss_2: 2.2667e-04 - dense_4_loss_3: 0.0021 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.0463e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0201 - dense_4_loss_8: 5.6564e-05 - dense_4_loss_9: 0.0055 - dense_4_loss_10: 0.0094 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9962 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 412/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0464 - dense_4_loss_1: 7.2114e-04 - dense_4_loss_2: 2.2295e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.0404e-05 - dense_4_loss_6: 0.0031 - dense_4_loss_7: 0.0202 - dense_4_loss_8: 5.6963e-05 - dense_4_loss_9: 0.0055 - dense_4_loss_10: 0.0096 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9960 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 413/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0462 - dense_4_loss_1: 7.1254e-04 - dense_4_loss_2: 2.2624e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.3047e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0201 - dense_4_loss_8: 5.5260e-05 - dense_4_loss_9: 0.0055 - dense_4_loss_10: 0.0096 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9993    \n",
      "Epoch 414/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0460 - dense_4_loss_1: 7.0944e-04 - dense_4_loss_2: 2.2140e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 4.2630e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0200 - dense_4_loss_8: 5.7677e-05 - dense_4_loss_9: 0.0055 - dense_4_loss_10: 0.0096 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 415/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0457 - dense_4_loss_1: 7.1604e-04 - dense_4_loss_2: 2.2692e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0050 - dense_4_loss_5: 4.0226e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0198 - dense_4_loss_8: 5.7606e-05 - dense_4_loss_9: 0.0054 - dense_4_loss_10: 0.0094 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9964 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 416/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0457 - dense_4_loss_1: 7.1559e-04 - dense_4_loss_2: 2.2421e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 4.3552e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0200 - dense_4_loss_8: 5.6796e-05 - dense_4_loss_9: 0.0054 - dense_4_loss_10: 0.0094 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9963 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 417/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0455 - dense_4_loss_1: 7.1733e-04 - dense_4_loss_2: 2.2462e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 4.0010e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0198 - dense_4_loss_8: 5.6640e-05 - dense_4_loss_9: 0.0054 - dense_4_loss_10: 0.0094 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9962 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 418/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0456 - dense_4_loss_1: 7.0829e-04 - dense_4_loss_2: 2.2200e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.9578e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0199 - dense_4_loss_8: 5.7025e-05 - dense_4_loss_9: 0.0054 - dense_4_loss_10: 0.0094 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 419/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0452 - dense_4_loss_1: 7.1204e-04 - dense_4_loss_2: 2.2080e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.8050e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0196 - dense_4_loss_8: 5.5955e-05 - dense_4_loss_9: 0.0054 - dense_4_loss_10: 0.0093 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9964 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 420/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0451 - dense_4_loss_1: 7.0400e-04 - dense_4_loss_2: 2.2317e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.8847e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0196 - dense_4_loss_8: 5.6412e-05 - dense_4_loss_9: 0.0053 - dense_4_loss_10: 0.0093 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9966 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 421/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0449 - dense_4_loss_1: 7.0459e-04 - dense_4_loss_2: 2.1858e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.9950e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0195 - dense_4_loss_8: 5.5652e-05 - dense_4_loss_9: 0.0053 - dense_4_loss_10: 0.0092 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9993    \n",
      "Epoch 422/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0450 - dense_4_loss_1: 7.0796e-04 - dense_4_loss_2: 2.1889e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.9206e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0196 - dense_4_loss_8: 5.5286e-05 - dense_4_loss_9: 0.0053 - dense_4_loss_10: 0.0092 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 423/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0447 - dense_4_loss_1: 6.9509e-04 - dense_4_loss_2: 2.2210e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 4.0798e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0195 - dense_4_loss_8: 5.5879e-05 - dense_4_loss_9: 0.0053 - dense_4_loss_10: 0.0092 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 424/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0445 - dense_4_loss_1: 7.0429e-04 - dense_4_loss_2: 2.2408e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0049 - dense_4_loss_5: 3.8056e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0194 - dense_4_loss_8: 5.5840e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0091 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9966 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 425/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0445 - dense_4_loss_1: 6.9732e-04 - dense_4_loss_2: 2.1816e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 4.0016e-05 - dense_4_loss_6: 0.0030 - dense_4_loss_7: 0.0194 - dense_4_loss_8: 5.4997e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0091 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9964 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 426/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0444 - dense_4_loss_1: 6.9744e-04 - dense_4_loss_2: 2.1862e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 4.1294e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0193 - dense_4_loss_8: 5.6264e-05 - dense_4_loss_9: 0.0053 - dense_4_loss_10: 0.0091 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 427/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0441 - dense_4_loss_1: 6.9174e-04 - dense_4_loss_2: 2.1936e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 4.0032e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0192 - dense_4_loss_8: 5.4728e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0090 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 428/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0440 - dense_4_loss_1: 6.8415e-04 - dense_4_loss_2: 2.2119e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 3.7274e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0191 - dense_4_loss_8: 5.4916e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0090 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9968 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 429/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0440 - dense_4_loss_1: 6.9232e-04 - dense_4_loss_2: 2.1403e-04 - dense_4_loss_3: 0.0020 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 4.0428e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0191 - dense_4_loss_8: 5.4788e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0090 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9966 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9993 - dense_4_acc_10: 0.9994    \n",
      "Epoch 430/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0439 - dense_4_loss_1: 6.8959e-04 - dense_4_loss_2: 2.1679e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 3.7010e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0191 - dense_4_loss_8: 5.4589e-05 - dense_4_loss_9: 0.0052 - dense_4_loss_10: 0.0089 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 431/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0436 - dense_4_loss_1: 6.8571e-04 - dense_4_loss_2: 2.1566e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 3.8104e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0189 - dense_4_loss_8: 5.5315e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0089 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 432/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0435 - dense_4_loss_1: 6.8533e-04 - dense_4_loss_2: 2.1719e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 3.8977e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0189 - dense_4_loss_8: 5.2965e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0089 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 433/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0433 - dense_4_loss_1: 6.7934e-04 - dense_4_loss_2: 2.1543e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.7431e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0189 - dense_4_loss_8: 5.4728e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0089 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 434/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0433 - dense_4_loss_1: 6.8936e-04 - dense_4_loss_2: 2.1400e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0048 - dense_4_loss_5: 3.7943e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0189 - dense_4_loss_8: 5.5140e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0088 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9966 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 435/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0432 - dense_4_loss_1: 6.7903e-04 - dense_4_loss_2: 2.1423e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 4.0328e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0188 - dense_4_loss_8: 5.3551e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0088 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 436/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0430 - dense_4_loss_1: 6.8077e-04 - dense_4_loss_2: 2.1773e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.8904e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0187 - dense_4_loss_8: 5.4445e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0088 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9971 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 437/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0429 - dense_4_loss_1: 6.6509e-04 - dense_4_loss_2: 2.1160e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.6604e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0187 - dense_4_loss_8: 5.2588e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0088 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9967 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 438/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0429 - dense_4_loss_1: 6.7622e-04 - dense_4_loss_2: 2.1204e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.8338e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0187 - dense_4_loss_8: 5.2690e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0087 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9968 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 439/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0426 - dense_4_loss_1: 6.7071e-04 - dense_4_loss_2: 2.1242e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.8792e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0186 - dense_4_loss_8: 5.1835e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0087 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 440/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0427 - dense_4_loss_1: 6.7215e-04 - dense_4_loss_2: 2.1261e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.9176e-05 - dense_4_loss_6: 0.0029 - dense_4_loss_7: 0.0185 - dense_4_loss_8: 5.3934e-05 - dense_4_loss_9: 0.0051 - dense_4_loss_10: 0.0087 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9972 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 441/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0426 - dense_4_loss_1: 6.6479e-04 - dense_4_loss_2: 2.1065e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.6959e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0186 - dense_4_loss_8: 5.2313e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0086 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 442/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0423 - dense_4_loss_1: 6.7517e-04 - dense_4_loss_2: 2.0919e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0047 - dense_4_loss_5: 3.8867e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0183 - dense_4_loss_8: 5.2965e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0087 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 443/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0422 - dense_4_loss_1: 6.7295e-04 - dense_4_loss_2: 2.1277e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.6011e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0184 - dense_4_loss_8: 5.2858e-05 - dense_4_loss_9: 0.0050 - dense_4_loss_10: 0.0086 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9971 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9994    \n",
      "Epoch 444/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0421 - dense_4_loss_1: 6.6000e-04 - dense_4_loss_2: 2.1103e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.6639e-05 - dense_4_loss_6: 0.0028 - dense_4_loss_7: 0.0183 - dense_4_loss_8: 5.3393e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0086 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9965 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 445/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0420 - dense_4_loss_1: 6.6055e-04 - dense_4_loss_2: 2.1123e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.8240e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0184 - dense_4_loss_8: 5.2905e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0086 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 446/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0418 - dense_4_loss_1: 6.6216e-04 - dense_4_loss_2: 2.0772e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.7069e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0182 - dense_4_loss_8: 5.1880e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0085 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9970 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 447/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0417 - dense_4_loss_1: 6.6060e-04 - dense_4_loss_2: 2.1089e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.5684e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0181 - dense_4_loss_8: 5.2668e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0085 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9970 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 448/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0416 - dense_4_loss_1: 6.6097e-04 - dense_4_loss_2: 2.0666e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.8317e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0180 - dense_4_loss_8: 5.2385e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0085 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9971 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 449/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0415 - dense_4_loss_1: 6.4981e-04 - dense_4_loss_2: 2.1008e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.6460e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0181 - dense_4_loss_8: 5.2485e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0084 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 450/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0414 - dense_4_loss_1: 6.5595e-04 - dense_4_loss_2: 2.0827e-04 - dense_4_loss_3: 0.0019 - dense_4_loss_4: 0.0046 - dense_4_loss_5: 3.6959e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0181 - dense_4_loss_8: 5.2413e-05 - dense_4_loss_9: 0.0048 - dense_4_loss_10: 0.0085 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9970 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 451/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0413 - dense_4_loss_1: 6.4803e-04 - dense_4_loss_2: 2.0885e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.6986e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0180 - dense_4_loss_8: 5.1793e-05 - dense_4_loss_9: 0.0049 - dense_4_loss_10: 0.0084 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 452/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0411 - dense_4_loss_1: 6.4954e-04 - dense_4_loss_2: 2.0563e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.5588e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0179 - dense_4_loss_8: 5.1465e-05 - dense_4_loss_9: 0.0048 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 453/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0411 - dense_4_loss_1: 6.5010e-04 - dense_4_loss_2: 2.0704e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.6336e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0179 - dense_4_loss_8: 5.1830e-05 - dense_4_loss_9: 0.0048 - dense_4_loss_10: 0.0084 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9994    \n",
      "Epoch 454/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0409 - dense_4_loss_1: 6.5367e-04 - dense_4_loss_2: 2.0679e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.4698e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0178 - dense_4_loss_8: 5.2193e-05 - dense_4_loss_9: 0.0048 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9972 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 455/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0408 - dense_4_loss_1: 6.3402e-04 - dense_4_loss_2: 2.0536e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.6225e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0177 - dense_4_loss_8: 5.1785e-05 - dense_4_loss_9: 0.0048 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9969 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 456/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0407 - dense_4_loss_1: 6.5409e-04 - dense_4_loss_2: 2.0758e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.5086e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0178 - dense_4_loss_8: 5.1309e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9970 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 457/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0405 - dense_4_loss_1: 6.3882e-04 - dense_4_loss_2: 2.0443e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.4558e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0176 - dense_4_loss_8: 5.1940e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 458/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0405 - dense_4_loss_1: 6.4312e-04 - dense_4_loss_2: 2.0806e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.4873e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0176 - dense_4_loss_8: 5.1052e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0083 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9971 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 459/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0404 - dense_4_loss_1: 6.4647e-04 - dense_4_loss_2: 2.0486e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.5395e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0175 - dense_4_loss_8: 5.0771e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0082 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 460/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0403 - dense_4_loss_1: 6.3704e-04 - dense_4_loss_2: 2.0302e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.6082e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0175 - dense_4_loss_8: 5.1056e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0082 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 461/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0401 - dense_4_loss_1: 6.3807e-04 - dense_4_loss_2: 2.0053e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.8807e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0175 - dense_4_loss_8: 5.1092e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 462/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0401 - dense_4_loss_1: 6.4015e-04 - dense_4_loss_2: 2.0761e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0045 - dense_4_loss_5: 3.3910e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0174 - dense_4_loss_8: 5.0258e-05 - dense_4_loss_9: 0.0047 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9974 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 463/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0397 - dense_4_loss_1: 6.3040e-04 - dense_4_loss_2: 2.0170e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.9699e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0173 - dense_4_loss_8: 5.0193e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9976 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 464/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0397 - dense_4_loss_1: 6.3778e-04 - dense_4_loss_2: 2.0178e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.5988e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0172 - dense_4_loss_8: 5.0931e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 465/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0398 - dense_4_loss_1: 6.2301e-04 - dense_4_loss_2: 2.0180e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.4671e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0173 - dense_4_loss_8: 4.9959e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9972 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 466/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0396 - dense_4_loss_1: 6.3273e-04 - dense_4_loss_2: 1.9946e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.6648e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0173 - dense_4_loss_8: 5.0100e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0080 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 467/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0397 - dense_4_loss_1: 6.3038e-04 - dense_4_loss_2: 2.0204e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.3997e-05 - dense_4_loss_6: 0.0027 - dense_4_loss_7: 0.0172 - dense_4_loss_8: 5.0311e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0081 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9976 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 468/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0392 - dense_4_loss_1: 6.2169e-04 - dense_4_loss_2: 2.0020e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.4892e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0171 - dense_4_loss_8: 4.9938e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0080 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 469/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0393 - dense_4_loss_1: 6.2324e-04 - dense_4_loss_2: 2.0003e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.4442e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0171 - dense_4_loss_8: 5.0526e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0080 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9974 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 470/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0392 - dense_4_loss_1: 6.3127e-04 - dense_4_loss_2: 2.0132e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.5294e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0171 - dense_4_loss_8: 5.0435e-05 - dense_4_loss_9: 0.0046 - dense_4_loss_10: 0.0079 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 471/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0390 - dense_4_loss_1: 6.2357e-04 - dense_4_loss_2: 2.0047e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.2821e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0170 - dense_4_loss_8: 5.0862e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0079 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 472/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0390 - dense_4_loss_1: 6.2446e-04 - dense_4_loss_2: 2.0109e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.6349e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0170 - dense_4_loss_8: 4.8754e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0080 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 473/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0387 - dense_4_loss_1: 6.1961e-04 - dense_4_loss_2: 1.9556e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.6369e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0169 - dense_4_loss_8: 4.9600e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0079 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9973 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 474/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0386 - dense_4_loss_1: 6.1807e-04 - dense_4_loss_2: 1.9975e-04 - dense_4_loss_3: 0.0018 - dense_4_loss_4: 0.0044 - dense_4_loss_5: 3.5628e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0168 - dense_4_loss_8: 4.9354e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0078 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9976 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 475/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0386 - dense_4_loss_1: 6.1151e-04 - dense_4_loss_2: 2.0157e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.5079e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0168 - dense_4_loss_8: 5.0028e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0079 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 476/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0384 - dense_4_loss_1: 6.1156e-04 - dense_4_loss_2: 1.9727e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.5348e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0167 - dense_4_loss_8: 4.9484e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0078 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9974 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 477/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0382 - dense_4_loss_1: 6.1648e-04 - dense_4_loss_2: 1.9781e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.6053e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0167 - dense_4_loss_8: 4.9667e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0077 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 478/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0384 - dense_4_loss_1: 6.0792e-04 - dense_4_loss_2: 1.9640e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3464e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0167 - dense_4_loss_8: 4.9357e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0077 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 479/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0384 - dense_4_loss_1: 6.0864e-04 - dense_4_loss_2: 1.9490e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3901e-05 - dense_4_loss_6: 0.0026 - dense_4_loss_7: 0.0167 - dense_4_loss_8: 4.9590e-05 - dense_4_loss_9: 0.0045 - dense_4_loss_10: 0.0078 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 480/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0381 - dense_4_loss_1: 6.0909e-04 - dense_4_loss_2: 1.9912e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3604e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0166 - dense_4_loss_8: 4.8330e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0077 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9977 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 481/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0380 - dense_4_loss_1: 6.0495e-04 - dense_4_loss_2: 1.9512e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.5257e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0166 - dense_4_loss_8: 4.9241e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0077 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9975 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 482/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0377 - dense_4_loss_1: 6.0438e-04 - dense_4_loss_2: 1.9535e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3896e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0164 - dense_4_loss_8: 4.8774e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9977 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 483/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0377 - dense_4_loss_1: 6.0674e-04 - dense_4_loss_2: 1.9587e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3553e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0164 - dense_4_loss_8: 4.9236e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9976 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 484/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0377 - dense_4_loss_1: 6.0411e-04 - dense_4_loss_2: 1.9349e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0043 - dense_4_loss_5: 3.3938e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0164 - dense_4_loss_8: 4.7880e-05 - dense_4_loss_9: 0.0044 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9974 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 485/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0376 - dense_4_loss_1: 6.0291e-04 - dense_4_loss_2: 1.9452e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.5946e-05 - dense_4_loss_6: 0.0025 - dense_4_loss_7: 0.0163 - dense_4_loss_8: 4.8950e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9976 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 486/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0374 - dense_4_loss_1: 5.9570e-04 - dense_4_loss_2: 1.9559e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.1780e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0163 - dense_4_loss_8: 4.9311e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9977 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 487/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0373 - dense_4_loss_1: 6.0746e-04 - dense_4_loss_2: 1.9481e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.5415e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0162 - dense_4_loss_8: 4.7479e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 488/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0372 - dense_4_loss_1: 5.9532e-04 - dense_4_loss_2: 1.9207e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.3642e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0163 - dense_4_loss_8: 4.8191e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0075 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9977 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 489/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0372 - dense_4_loss_1: 5.9452e-04 - dense_4_loss_2: 1.9221e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.2251e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0161 - dense_4_loss_8: 4.6988e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0076 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9980 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 490/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0370 - dense_4_loss_1: 5.9194e-04 - dense_4_loss_2: 1.9109e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.4524e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0161 - dense_4_loss_8: 4.7985e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0075 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 491/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0369 - dense_4_loss_1: 5.9504e-04 - dense_4_loss_2: 1.9267e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.1088e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0160 - dense_4_loss_8: 4.7876e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0075 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9996    \n",
      "Epoch 492/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0369 - dense_4_loss_1: 5.9430e-04 - dense_4_loss_2: 1.9145e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.2581e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0160 - dense_4_loss_8: 4.8775e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0075 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 493/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0368 - dense_4_loss_1: 5.9114e-04 - dense_4_loss_2: 1.9209e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.1219e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0160 - dense_4_loss_8: 4.8208e-05 - dense_4_loss_9: 0.0043 - dense_4_loss_10: 0.0075 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 494/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0367 - dense_4_loss_1: 5.8709e-04 - dense_4_loss_2: 1.9195e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.3894e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0160 - dense_4_loss_8: 4.7704e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0074 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9977 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 495/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0365 - dense_4_loss_1: 5.8968e-04 - dense_4_loss_2: 1.8921e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0042 - dense_4_loss_5: 3.1840e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0158 - dense_4_loss_8: 4.6907e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0074 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 496/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0365 - dense_4_loss_1: 5.8641e-04 - dense_4_loss_2: 1.9019e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1143e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0159 - dense_4_loss_8: 4.7819e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0074 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9980 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 497/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0363 - dense_4_loss_1: 5.8560e-04 - dense_4_loss_2: 1.8867e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.2181e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0159 - dense_4_loss_8: 4.7188e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0073 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 498/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0363 - dense_4_loss_1: 5.8017e-04 - dense_4_loss_2: 1.9083e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1848e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0157 - dense_4_loss_8: 4.7043e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0074 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9980 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 499/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0361 - dense_4_loss_1: 5.8170e-04 - dense_4_loss_2: 1.9097e-04 - dense_4_loss_3: 0.0017 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1560e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0157 - dense_4_loss_8: 4.7086e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0073 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 500/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0361 - dense_4_loss_1: 5.8104e-04 - dense_4_loss_2: 1.8860e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.2991e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0157 - dense_4_loss_8: 4.6236e-05 - dense_4_loss_9: 0.0042 - dense_4_loss_10: 0.0073 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 501/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0360 - dense_4_loss_1: 5.8113e-04 - dense_4_loss_2: 1.8738e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.2888e-05 - dense_4_loss_6: 0.0024 - dense_4_loss_7: 0.0156 - dense_4_loss_8: 4.6616e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0073 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9980 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 502/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0358 - dense_4_loss_1: 5.8470e-04 - dense_4_loss_2: 1.8869e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1896e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0155 - dense_4_loss_8: 4.6526e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0072 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 503/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0357 - dense_4_loss_1: 5.7114e-04 - dense_4_loss_2: 1.9017e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1792e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0155 - dense_4_loss_8: 4.6822e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0072 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9981 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 504/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0357 - dense_4_loss_1: 5.7135e-04 - dense_4_loss_2: 1.8981e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1745e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0156 - dense_4_loss_8: 4.6388e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0072 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9978 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 505/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0355 - dense_4_loss_1: 5.7532e-04 - dense_4_loss_2: 1.8793e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.1254e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0154 - dense_4_loss_8: 4.6434e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0072 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 506/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0355 - dense_4_loss_1: 5.7639e-04 - dense_4_loss_2: 1.8821e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0041 - dense_4_loss_5: 3.2060e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0154 - dense_4_loss_8: 4.6270e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0072 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9979 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 507/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0354 - dense_4_loss_1: 5.6957e-04 - dense_4_loss_2: 1.8643e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.2251e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0154 - dense_4_loss_8: 4.6985e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9995    \n",
      "Epoch 508/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0353 - dense_4_loss_1: 5.7536e-04 - dense_4_loss_2: 1.8513e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.2538e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0153 - dense_4_loss_8: 4.5974e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9995    \n",
      "Epoch 509/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0352 - dense_4_loss_1: 5.7024e-04 - dense_4_loss_2: 1.8659e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.0158e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0153 - dense_4_loss_8: 4.6505e-05 - dense_4_loss_9: 0.0041 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9994 - dense_4_acc_10: 0.9995    \n",
      "Epoch 510/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0351 - dense_4_loss_1: 5.7295e-04 - dense_4_loss_2: 1.8731e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.1376e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0152 - dense_4_loss_8: 4.4944e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 511/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0350 - dense_4_loss_1: 5.7022e-04 - dense_4_loss_2: 1.8460e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.0920e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0152 - dense_4_loss_8: 4.6336e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 512/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0349 - dense_4_loss_1: 5.6567e-04 - dense_4_loss_2: 1.8435e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.2235e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0152 - dense_4_loss_8: 4.5958e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0070 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9981 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 513/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0350 - dense_4_loss_1: 5.5737e-04 - dense_4_loss_2: 1.8586e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.1623e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0151 - dense_4_loss_8: 4.5788e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0071 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9995    \n",
      "Epoch 514/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0349 - dense_4_loss_1: 5.6347e-04 - dense_4_loss_2: 1.8443e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.2547e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0151 - dense_4_loss_8: 4.5670e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0070 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9980 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 515/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0346 - dense_4_loss_1: 5.6342e-04 - dense_4_loss_2: 1.8647e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.0799e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0151 - dense_4_loss_8: 4.6526e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 516/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0347 - dense_4_loss_1: 5.6250e-04 - dense_4_loss_2: 1.8416e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.1626e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0150 - dense_4_loss_8: 4.5189e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0070 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 517/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0347 - dense_4_loss_1: 5.5787e-04 - dense_4_loss_2: 1.8252e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.1700e-05 - dense_4_loss_6: 0.0023 - dense_4_loss_7: 0.0151 - dense_4_loss_8: 4.5987e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0070 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 518/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0344 - dense_4_loss_1: 5.6143e-04 - dense_4_loss_2: 1.8257e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0040 - dense_4_loss_5: 3.0816e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0149 - dense_4_loss_8: 4.5951e-05 - dense_4_loss_9: 0.0040 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 519/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0344 - dense_4_loss_1: 5.5361e-04 - dense_4_loss_2: 1.8358e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9870e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0150 - dense_4_loss_8: 4.5283e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 520/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0342 - dense_4_loss_1: 5.5179e-04 - dense_4_loss_2: 1.8155e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0914e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0149 - dense_4_loss_8: 4.6524e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 521/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0341 - dense_4_loss_1: 5.5490e-04 - dense_4_loss_2: 1.8103e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0427e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0148 - dense_4_loss_8: 4.5149e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 522/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0341 - dense_4_loss_1: 5.4465e-04 - dense_4_loss_2: 1.8335e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0678e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0148 - dense_4_loss_8: 4.5196e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0069 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 523/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0340 - dense_4_loss_1: 5.6073e-04 - dense_4_loss_2: 1.8063e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0755e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0147 - dense_4_loss_8: 4.4613e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0068 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 524/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0339 - dense_4_loss_1: 5.4665e-04 - dense_4_loss_2: 1.8325e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9996e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0147 - dense_4_loss_8: 4.4990e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0068 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9995    \n",
      "Epoch 525/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0338 - dense_4_loss_1: 5.5478e-04 - dense_4_loss_2: 1.8030e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0987e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0146 - dense_4_loss_8: 4.5146e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0068 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 526/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0337 - dense_4_loss_1: 5.4640e-04 - dense_4_loss_2: 1.8070e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9938e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0146 - dense_4_loss_8: 4.4239e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0068 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9995    \n",
      "Epoch 527/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0335 - dense_4_loss_1: 5.3784e-04 - dense_4_loss_2: 1.7810e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.0231e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0146 - dense_4_loss_8: 4.4247e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 528/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0335 - dense_4_loss_1: 5.4792e-04 - dense_4_loss_2: 1.8045e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9624e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0145 - dense_4_loss_8: 4.4983e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9982 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9995 - dense_4_acc_10: 0.9996    \n",
      "Epoch 529/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0333 - dense_4_loss_1: 5.4231e-04 - dense_4_loss_2: 1.7992e-04 - dense_4_loss_3: 0.0016 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9491e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0145 - dense_4_loss_8: 4.4959e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9995    \n",
      "Epoch 530/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0333 - dense_4_loss_1: 5.3817e-04 - dense_4_loss_2: 1.7997e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.9548e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0144 - dense_4_loss_8: 4.3478e-05 - dense_4_loss_9: 0.0039 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 531/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0334 - dense_4_loss_1: 5.4044e-04 - dense_4_loss_2: 1.7819e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.9964e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0145 - dense_4_loss_8: 4.4771e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9983 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 532/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0333 - dense_4_loss_1: 5.4034e-04 - dense_4_loss_2: 1.7947e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0709e-05 - dense_4_loss_6: 0.0022 - dense_4_loss_7: 0.0144 - dense_4_loss_8: 4.4185e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9995    \n",
      "Epoch 533/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0330 - dense_4_loss_1: 5.4235e-04 - dense_4_loss_2: 1.7568e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 3.1327e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0143 - dense_4_loss_8: 4.3589e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0066 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 534/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0330 - dense_4_loss_1: 5.3460e-04 - dense_4_loss_2: 1.7946e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0039 - dense_4_loss_5: 2.8484e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0143 - dense_4_loss_8: 4.4309e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 535/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0329 - dense_4_loss_1: 5.3731e-04 - dense_4_loss_2: 1.7656e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0486e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0142 - dense_4_loss_8: 4.3869e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0067 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 536/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0328 - dense_4_loss_1: 5.3152e-04 - dense_4_loss_2: 1.7427e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.8492e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0142 - dense_4_loss_8: 4.3951e-05 - dense_4_loss_9: 0.0038 - dense_4_loss_10: 0.0066 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9997    \n",
      "Epoch 537/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0327 - dense_4_loss_1: 5.3504e-04 - dense_4_loss_2: 1.7819e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0132e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0141 - dense_4_loss_8: 4.3663e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0066 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 538/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0328 - dense_4_loss_1: 5.3022e-04 - dense_4_loss_2: 1.7509e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.9238e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0143 - dense_4_loss_8: 4.4252e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0066 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9996 - dense_4_acc_10: 0.9996    \n",
      "Epoch 539/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0326 - dense_4_loss_1: 5.3466e-04 - dense_4_loss_2: 1.7743e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0688e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0141 - dense_4_loss_8: 4.4629e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0065 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 540/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0326 - dense_4_loss_1: 5.2983e-04 - dense_4_loss_2: 1.7532e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0122e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0141 - dense_4_loss_8: 4.4923e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0066 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 541/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0324 - dense_4_loss_1: 5.2605e-04 - dense_4_loss_2: 1.7460e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.8273e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0141 - dense_4_loss_8: 4.3203e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0065 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 542/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0323 - dense_4_loss_1: 5.3035e-04 - dense_4_loss_2: 1.7508e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 3.0266e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0140 - dense_4_loss_8: 4.4173e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0065 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9995    \n",
      "Epoch 543/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0323 - dense_4_loss_1: 5.2451e-04 - dense_4_loss_2: 1.7487e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.9112e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0140 - dense_4_loss_8: 4.3274e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0065 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 544/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0322 - dense_4_loss_1: 5.2206e-04 - dense_4_loss_2: 1.7624e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.8120e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0140 - dense_4_loss_8: 4.3602e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9997    \n",
      "Epoch 545/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0323 - dense_4_loss_1: 5.2759e-04 - dense_4_loss_2: 1.7365e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0038 - dense_4_loss_5: 2.8663e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0140 - dense_4_loss_8: 4.2852e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 546/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0320 - dense_4_loss_1: 5.2252e-04 - dense_4_loss_2: 1.7417e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8030e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0139 - dense_4_loss_8: 4.2632e-05 - dense_4_loss_9: 0.0037 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 547/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0319 - dense_4_loss_1: 5.2216e-04 - dense_4_loss_2: 1.7451e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 3.0369e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0138 - dense_4_loss_8: 4.2493e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 548/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0319 - dense_4_loss_1: 5.2460e-04 - dense_4_loss_2: 1.7241e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.9604e-05 - dense_4_loss_6: 0.0021 - dense_4_loss_7: 0.0139 - dense_4_loss_8: 4.3691e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 549/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0318 - dense_4_loss_1: 5.1508e-04 - dense_4_loss_2: 1.7135e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.9774e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0138 - dense_4_loss_8: 4.3078e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 550/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0318 - dense_4_loss_1: 5.2424e-04 - dense_4_loss_2: 1.7185e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8971e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0138 - dense_4_loss_8: 4.3000e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9998 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 551/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0317 - dense_4_loss_1: 5.2275e-04 - dense_4_loss_2: 1.7139e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8944e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0137 - dense_4_loss_8: 4.3418e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0064 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 552/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0316 - dense_4_loss_1: 5.0950e-04 - dense_4_loss_2: 1.7438e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8708e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0137 - dense_4_loss_8: 4.3067e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0063 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 553/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0315 - dense_4_loss_1: 5.1753e-04 - dense_4_loss_2: 1.7073e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.9420e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0137 - dense_4_loss_8: 4.3547e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0063 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 554/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0314 - dense_4_loss_1: 5.1522e-04 - dense_4_loss_2: 1.7064e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.9934e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0136 - dense_4_loss_8: 4.3036e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0063 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 555/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0314 - dense_4_loss_1: 5.1236e-04 - dense_4_loss_2: 1.7122e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8263e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0136 - dense_4_loss_8: 4.2880e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0063 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 556/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0313 - dense_4_loss_1: 5.1214e-04 - dense_4_loss_2: 1.7130e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8473e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0136 - dense_4_loss_8: 4.2297e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0063 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 557/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0312 - dense_4_loss_1: 5.1082e-04 - dense_4_loss_2: 1.6930e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.7371e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0135 - dense_4_loss_8: 4.2738e-05 - dense_4_loss_9: 0.0036 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9996    \n",
      "Epoch 558/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0311 - dense_4_loss_1: 5.0740e-04 - dense_4_loss_2: 1.7063e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0037 - dense_4_loss_5: 2.8662e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0135 - dense_4_loss_8: 4.2074e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 559/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0310 - dense_4_loss_1: 5.1048e-04 - dense_4_loss_2: 1.6909e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.9572e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0134 - dense_4_loss_8: 4.2800e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 560/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0310 - dense_4_loss_1: 5.0989e-04 - dense_4_loss_2: 1.6868e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.9769e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0134 - dense_4_loss_8: 4.2034e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 561/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0309 - dense_4_loss_1: 5.1118e-04 - dense_4_loss_2: 1.7111e-04 - dense_4_loss_3: 0.0015 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8121e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0134 - dense_4_loss_8: 4.2516e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 562/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0308 - dense_4_loss_1: 5.0440e-04 - dense_4_loss_2: 1.6856e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.7878e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0133 - dense_4_loss_8: 4.1646e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 563/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0308 - dense_4_loss_1: 5.0418e-04 - dense_4_loss_2: 1.6563e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8156e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0133 - dense_4_loss_8: 4.3628e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0062 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 564/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0306 - dense_4_loss_1: 5.0239e-04 - dense_4_loss_2: 1.6729e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8143e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0132 - dense_4_loss_8: 4.0724e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 565/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0306 - dense_4_loss_1: 5.0151e-04 - dense_4_loss_2: 1.6823e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.9909e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0132 - dense_4_loss_8: 4.1651e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 566/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0304 - dense_4_loss_1: 5.0118e-04 - dense_4_loss_2: 1.6745e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8129e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0132 - dense_4_loss_8: 4.2350e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 567/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0305 - dense_4_loss_1: 5.0131e-04 - dense_4_loss_2: 1.6789e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.7919e-05 - dense_4_loss_6: 0.0020 - dense_4_loss_7: 0.0132 - dense_4_loss_8: 4.1157e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9984 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 568/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0304 - dense_4_loss_1: 4.9782e-04 - dense_4_loss_2: 1.6789e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.9043e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0131 - dense_4_loss_8: 4.2981e-05 - dense_4_loss_9: 0.0035 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9986 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9997    \n",
      "Epoch 569/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0303 - dense_4_loss_1: 4.9544e-04 - dense_4_loss_2: 1.6809e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.7013e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0131 - dense_4_loss_8: 4.1172e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0061 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9985 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 570/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0302 - dense_4_loss_1: 4.9298e-04 - dense_4_loss_2: 1.6749e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.7896e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0130 - dense_4_loss_8: 4.1930e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 571/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0301 - dense_4_loss_1: 4.9302e-04 - dense_4_loss_2: 1.6597e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8266e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0131 - dense_4_loss_8: 4.1705e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 572/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0301 - dense_4_loss_1: 5.0203e-04 - dense_4_loss_2: 1.6545e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.7169e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0130 - dense_4_loss_8: 4.2430e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 573/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0300 - dense_4_loss_1: 4.9339e-04 - dense_4_loss_2: 1.6487e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8503e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0130 - dense_4_loss_8: 4.1698e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9997    \n",
      "Epoch 574/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0299 - dense_4_loss_1: 4.9115e-04 - dense_4_loss_2: 1.6469e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8595e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0129 - dense_4_loss_8: 4.2615e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 575/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0298 - dense_4_loss_1: 4.9436e-04 - dense_4_loss_2: 1.6376e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0036 - dense_4_loss_5: 2.8350e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0129 - dense_4_loss_8: 4.0719e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 576/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0298 - dense_4_loss_1: 4.9179e-04 - dense_4_loss_2: 1.6466e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7518e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0129 - dense_4_loss_8: 4.1840e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 577/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0296 - dense_4_loss_1: 4.9378e-04 - dense_4_loss_2: 1.6458e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7212e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0128 - dense_4_loss_8: 4.0602e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0059 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9996    \n",
      "Epoch 578/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0296 - dense_4_loss_1: 4.8607e-04 - dense_4_loss_2: 1.6464e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7337e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0128 - dense_4_loss_8: 4.1362e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0059 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 579/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0296 - dense_4_loss_1: 4.9255e-04 - dense_4_loss_2: 1.6611e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.8211e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0128 - dense_4_loss_8: 4.1271e-05 - dense_4_loss_9: 0.0034 - dense_4_loss_10: 0.0059 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 580/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0294 - dense_4_loss_1: 4.8689e-04 - dense_4_loss_2: 1.6471e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.6785e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0127 - dense_4_loss_8: 4.1476e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0059 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 581/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0294 - dense_4_loss_1: 4.8267e-04 - dense_4_loss_2: 1.6325e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7926e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0127 - dense_4_loss_8: 4.0961e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0059 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 582/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0294 - dense_4_loss_1: 4.8538e-04 - dense_4_loss_2: 1.6580e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7063e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0127 - dense_4_loss_8: 4.1339e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0060 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 583/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0292 - dense_4_loss_1: 4.8161e-04 - dense_4_loss_2: 1.6434e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.7320e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0126 - dense_4_loss_8: 4.0756e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 584/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0291 - dense_4_loss_1: 4.8914e-04 - dense_4_loss_2: 1.6295e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.6323e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0126 - dense_4_loss_8: 4.1125e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 585/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0290 - dense_4_loss_1: 4.8331e-04 - dense_4_loss_2: 1.6192e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.6743e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0125 - dense_4_loss_8: 4.0803e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9987 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 586/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0290 - dense_4_loss_1: 4.7372e-04 - dense_4_loss_2: 1.6194e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.6983e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0126 - dense_4_loss_8: 4.1286e-05 - dense_4_loss_9: 0.0033 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 587/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0290 - dense_4_loss_1: 4.8026e-04 - dense_4_loss_2: 1.6023e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.8248e-05 - dense_4_loss_6: 0.0019 - dense_4_loss_7: 0.0125 - dense_4_loss_8: 4.0938e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 588/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0289 - dense_4_loss_1: 4.8020e-04 - dense_4_loss_2: 1.6297e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.4286e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0125 - dense_4_loss_8: 4.0556e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 589/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0289 - dense_4_loss_1: 4.7307e-04 - dense_4_loss_2: 1.6071e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.7363e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0125 - dense_4_loss_8: 3.9724e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 590/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0287 - dense_4_loss_1: 4.7822e-04 - dense_4_loss_2: 1.6083e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0035 - dense_4_loss_5: 2.5981e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0124 - dense_4_loss_8: 4.0678e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0057 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 591/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0287 - dense_4_loss_1: 4.7390e-04 - dense_4_loss_2: 1.6081e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6576e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0124 - dense_4_loss_8: 4.0817e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 592/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0286 - dense_4_loss_1: 4.7527e-04 - dense_4_loss_2: 1.6020e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.7151e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0123 - dense_4_loss_8: 4.0469e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0057 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 593/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0287 - dense_4_loss_1: 4.6601e-04 - dense_4_loss_2: 1.6001e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.5720e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0124 - dense_4_loss_8: 4.1050e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0058 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 594/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0286 - dense_4_loss_1: 4.7371e-04 - dense_4_loss_2: 1.6104e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6600e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0123 - dense_4_loss_8: 3.9413e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0057 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 595/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0284 - dense_4_loss_1: 4.6927e-04 - dense_4_loss_2: 1.5904e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6347e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0123 - dense_4_loss_8: 4.1473e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0057 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9999    \n",
      "Epoch 596/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0284 - dense_4_loss_1: 4.6649e-04 - dense_4_loss_2: 1.5939e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.7818e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0123 - dense_4_loss_8: 4.0183e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9997 - dense_4_acc_10: 0.9999    \n",
      "Epoch 597/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0283 - dense_4_loss_1: 4.6950e-04 - dense_4_loss_2: 1.5995e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.5501e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0122 - dense_4_loss_8: 3.9491e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0057 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 598/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0282 - dense_4_loss_1: 4.6711e-04 - dense_4_loss_2: 1.5760e-04 - dense_4_loss_3: 0.0014 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6455e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 4.0074e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 599/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0281 - dense_4_loss_1: 4.6428e-04 - dense_4_loss_2: 1.5898e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6310e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 3.9425e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 600/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0281 - dense_4_loss_1: 4.6460e-04 - dense_4_loss_2: 1.5879e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6397e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 4.0465e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 601/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0280 - dense_4_loss_1: 4.6434e-04 - dense_4_loss_2: 1.5758e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6157e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 4.0439e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 602/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0281 - dense_4_loss_1: 4.6261e-04 - dense_4_loss_2: 1.5665e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.5926e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 4.0197e-05 - dense_4_loss_9: 0.0032 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 603/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0279 - dense_4_loss_1: 4.6141e-04 - dense_4_loss_2: 1.5766e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.6077e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0120 - dense_4_loss_8: 3.9189e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 604/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0279 - dense_4_loss_1: 4.5690e-04 - dense_4_loss_2: 1.5743e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.5516e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0121 - dense_4_loss_8: 3.9071e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9988 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 605/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0277 - dense_4_loss_1: 4.6452e-04 - dense_4_loss_2: 1.5623e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.7034e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0119 - dense_4_loss_8: 4.0206e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0056 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 606/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0278 - dense_4_loss_1: 4.5449e-04 - dense_4_loss_2: 1.5719e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.7047e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0120 - dense_4_loss_8: 3.9043e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0055 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 607/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0276 - dense_4_loss_1: 4.5492e-04 - dense_4_loss_2: 1.5414e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.6392e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0119 - dense_4_loss_8: 3.9053e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0055 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 608/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0276 - dense_4_loss_1: 4.5314e-04 - dense_4_loss_2: 1.5673e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5194e-05 - dense_4_loss_6: 0.0018 - dense_4_loss_7: 0.0119 - dense_4_loss_8: 3.9671e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0055 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 609/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0275 - dense_4_loss_1: 4.6010e-04 - dense_4_loss_2: 1.5776e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0034 - dense_4_loss_5: 2.5857e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0119 - dense_4_loss_8: 3.9120e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 610/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0274 - dense_4_loss_1: 4.5653e-04 - dense_4_loss_2: 1.5552e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5709e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0118 - dense_4_loss_8: 3.8784e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 611/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0273 - dense_4_loss_1: 4.5168e-04 - dense_4_loss_2: 1.5578e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5281e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0118 - dense_4_loss_8: 3.9350e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0055 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 612/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0273 - dense_4_loss_1: 4.5419e-04 - dense_4_loss_2: 1.5476e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.6648e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0118 - dense_4_loss_8: 3.8570e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0055 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 613/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0272 - dense_4_loss_1: 4.5204e-04 - dense_4_loss_2: 1.5484e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.6172e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0117 - dense_4_loss_8: 3.9188e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 614/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0272 - dense_4_loss_1: 4.5018e-04 - dense_4_loss_2: 1.5324e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.4990e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0117 - dense_4_loss_8: 3.8218e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 615/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0272 - dense_4_loss_1: 4.4816e-04 - dense_4_loss_2: 1.5523e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.6806e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0118 - dense_4_loss_8: 3.9972e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 616/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0270 - dense_4_loss_1: 4.5231e-04 - dense_4_loss_2: 1.5503e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5415e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0117 - dense_4_loss_8: 3.8474e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 617/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0271 - dense_4_loss_1: 4.4519e-04 - dense_4_loss_2: 1.5570e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.4401e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0116 - dense_4_loss_8: 3.9935e-05 - dense_4_loss_9: 0.0031 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 618/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0269 - dense_4_loss_1: 4.4569e-04 - dense_4_loss_2: 1.5272e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5562e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0115 - dense_4_loss_8: 3.8152e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 619/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0269 - dense_4_loss_1: 4.5082e-04 - dense_4_loss_2: 1.5326e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5597e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0116 - dense_4_loss_8: 3.9485e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0054 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 620/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0268 - dense_4_loss_1: 4.4582e-04 - dense_4_loss_2: 1.5285e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.4804e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0115 - dense_4_loss_8: 3.7858e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 621/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0268 - dense_4_loss_1: 4.4089e-04 - dense_4_loss_2: 1.5359e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.5680e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0115 - dense_4_loss_8: 3.9350e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 622/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0268 - dense_4_loss_1: 4.4649e-04 - dense_4_loss_2: 1.5143e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4995e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0116 - dense_4_loss_8: 3.8940e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9989 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 623/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0267 - dense_4_loss_1: 4.4595e-04 - dense_4_loss_2: 1.5294e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0033 - dense_4_loss_5: 2.4830e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0115 - dense_4_loss_8: 3.8435e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 624/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0266 - dense_4_loss_1: 4.4147e-04 - dense_4_loss_2: 1.5139e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4391e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0114 - dense_4_loss_8: 3.8457e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 625/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0265 - dense_4_loss_1: 4.3757e-04 - dense_4_loss_2: 1.5155e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5456e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0114 - dense_4_loss_8: 3.8540e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 626/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0265 - dense_4_loss_1: 4.4011e-04 - dense_4_loss_2: 1.5138e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4715e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0114 - dense_4_loss_8: 3.8687e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0053 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9997    \n",
      "Epoch 627/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0263 - dense_4_loss_1: 4.4266e-04 - dense_4_loss_2: 1.5158e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5114e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0113 - dense_4_loss_8: 3.7894e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 628/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0263 - dense_4_loss_1: 4.3891e-04 - dense_4_loss_2: 1.5150e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5535e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0113 - dense_4_loss_8: 3.7775e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 629/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0263 - dense_4_loss_1: 4.4129e-04 - dense_4_loss_2: 1.5076e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.7629e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0113 - dense_4_loss_8: 3.8038e-05 - dense_4_loss_9: 0.0030 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 630/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0262 - dense_4_loss_1: 4.3103e-04 - dense_4_loss_2: 1.5105e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5419e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0113 - dense_4_loss_8: 3.8650e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 631/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0261 - dense_4_loss_1: 4.3389e-04 - dense_4_loss_2: 1.4994e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5180e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0113 - dense_4_loss_8: 3.7353e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 632/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0261 - dense_4_loss_1: 4.3435e-04 - dense_4_loss_2: 1.5082e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4671e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0112 - dense_4_loss_8: 3.8122e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 633/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0260 - dense_4_loss_1: 4.4001e-04 - dense_4_loss_2: 1.4794e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5752e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0112 - dense_4_loss_8: 3.7472e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0052 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 634/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0260 - dense_4_loss_1: 4.3094e-04 - dense_4_loss_2: 1.4836e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4155e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0112 - dense_4_loss_8: 3.8211e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 635/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0259 - dense_4_loss_1: 4.3833e-04 - dense_4_loss_2: 1.4971e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4560e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0112 - dense_4_loss_8: 3.7593e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 636/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0259 - dense_4_loss_1: 4.2642e-04 - dense_4_loss_2: 1.4927e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4512e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0112 - dense_4_loss_8: 3.8127e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 637/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0258 - dense_4_loss_1: 4.2799e-04 - dense_4_loss_2: 1.4815e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5419e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0111 - dense_4_loss_8: 3.7481e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 638/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0258 - dense_4_loss_1: 4.2926e-04 - dense_4_loss_2: 1.4843e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4611e-05 - dense_4_loss_6: 0.0017 - dense_4_loss_7: 0.0110 - dense_4_loss_8: 3.8474e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 639/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0256 - dense_4_loss_1: 4.3356e-04 - dense_4_loss_2: 1.4847e-04 - dense_4_loss_3: 0.0013 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.4185e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0110 - dense_4_loss_8: 3.7872e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9998    \n",
      "Epoch 640/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0257 - dense_4_loss_1: 4.2712e-04 - dense_4_loss_2: 1.4853e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0032 - dense_4_loss_5: 2.5257e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0110 - dense_4_loss_8: 3.7588e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 641/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0256 - dense_4_loss_1: 4.3073e-04 - dense_4_loss_2: 1.4889e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3966e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0110 - dense_4_loss_8: 3.7714e-05 - dense_4_loss_9: 0.0029 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 642/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0255 - dense_4_loss_1: 4.2787e-04 - dense_4_loss_2: 1.4839e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4773e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.6909e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 643/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0254 - dense_4_loss_1: 4.2035e-04 - dense_4_loss_2: 1.4806e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3802e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.7107e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0051 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 644/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0254 - dense_4_loss_1: 4.2405e-04 - dense_4_loss_2: 1.4704e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.5027e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.7515e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 645/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0254 - dense_4_loss_1: 4.2449e-04 - dense_4_loss_2: 1.4609e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3055e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.7646e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 646/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0253 - dense_4_loss_1: 4.2764e-04 - dense_4_loss_2: 1.4579e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4564e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.7119e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 647/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0253 - dense_4_loss_1: 4.2148e-04 - dense_4_loss_2: 1.4601e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4228e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0109 - dense_4_loss_8: 3.7177e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 648/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0252 - dense_4_loss_1: 4.1841e-04 - dense_4_loss_2: 1.4693e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4642e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0108 - dense_4_loss_8: 3.7025e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 649/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0251 - dense_4_loss_1: 4.1979e-04 - dense_4_loss_2: 1.4603e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3858e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0108 - dense_4_loss_8: 3.7717e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 650/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0251 - dense_4_loss_1: 4.2046e-04 - dense_4_loss_2: 1.4538e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4273e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0107 - dense_4_loss_8: 3.6640e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 651/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0250 - dense_4_loss_1: 4.1816e-04 - dense_4_loss_2: 1.4436e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4183e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0107 - dense_4_loss_8: 3.7270e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 652/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0250 - dense_4_loss_1: 4.1860e-04 - dense_4_loss_2: 1.4446e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3575e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0107 - dense_4_loss_8: 3.6244e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0050 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 653/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0249 - dense_4_loss_1: 4.2218e-04 - dense_4_loss_2: 1.4519e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3617e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0107 - dense_4_loss_8: 3.6601e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 654/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0249 - dense_4_loss_1: 4.1516e-04 - dense_4_loss_2: 1.4247e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4359e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0107 - dense_4_loss_8: 3.6474e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 655/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0247 - dense_4_loss_1: 4.1491e-04 - dense_4_loss_2: 1.4495e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3998e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0106 - dense_4_loss_8: 3.6424e-05 - dense_4_loss_9: 0.0028 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 656/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0247 - dense_4_loss_1: 4.1124e-04 - dense_4_loss_2: 1.4260e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4347e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0106 - dense_4_loss_8: 3.7109e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 657/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0247 - dense_4_loss_1: 4.1315e-04 - dense_4_loss_2: 1.4451e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.4057e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0106 - dense_4_loss_8: 3.6347e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 658/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0246 - dense_4_loss_1: 4.0816e-04 - dense_4_loss_2: 1.4368e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3255e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0106 - dense_4_loss_8: 3.6839e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9990 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 659/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0246 - dense_4_loss_1: 4.1165e-04 - dense_4_loss_2: 1.4276e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0031 - dense_4_loss_5: 2.3953e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0105 - dense_4_loss_8: 3.6315e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 660/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0245 - dense_4_loss_1: 4.1377e-04 - dense_4_loss_2: 1.4316e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.5035e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0105 - dense_4_loss_8: 3.5724e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 661/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0245 - dense_4_loss_1: 4.0960e-04 - dense_4_loss_2: 1.4403e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3582e-05 - dense_4_loss_6: 0.0016 - dense_4_loss_7: 0.0105 - dense_4_loss_8: 3.7094e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 662/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0244 - dense_4_loss_1: 4.1032e-04 - dense_4_loss_2: 1.4238e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.4017e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0105 - dense_4_loss_8: 3.6013e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0049 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 663/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0243 - dense_4_loss_1: 4.0404e-04 - dense_4_loss_2: 1.4233e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3673e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0104 - dense_4_loss_8: 3.6333e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 664/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0243 - dense_4_loss_1: 4.1005e-04 - dense_4_loss_2: 1.4250e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.4169e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0104 - dense_4_loss_8: 3.5742e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 665/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0243 - dense_4_loss_1: 4.0849e-04 - dense_4_loss_2: 1.4080e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3859e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0104 - dense_4_loss_8: 3.5903e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 666/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0242 - dense_4_loss_1: 4.0435e-04 - dense_4_loss_2: 1.4241e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.2652e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0104 - dense_4_loss_8: 3.5685e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 667/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0242 - dense_4_loss_1: 4.0411e-04 - dense_4_loss_2: 1.4161e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3920e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0104 - dense_4_loss_8: 3.6791e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 668/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0241 - dense_4_loss_1: 3.9815e-04 - dense_4_loss_2: 1.4030e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.2979e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0103 - dense_4_loss_8: 3.6418e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0048 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 0.9999 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 669/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0240 - dense_4_loss_1: 4.0435e-04 - dense_4_loss_2: 1.4055e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3630e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0103 - dense_4_loss_8: 3.6173e-05 - dense_4_loss_9: 0.0027 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 670/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0239 - dense_4_loss_1: 4.0341e-04 - dense_4_loss_2: 1.4056e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3751e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0103 - dense_4_loss_8: 3.5925e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 671/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0239 - dense_4_loss_1: 4.0087e-04 - dense_4_loss_2: 1.3978e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.2937e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.6396e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 672/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0238 - dense_4_loss_1: 4.0165e-04 - dense_4_loss_2: 1.4011e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.4140e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.5410e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 673/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0238 - dense_4_loss_1: 3.9878e-04 - dense_4_loss_2: 1.4044e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.2992e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.5774e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 674/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0238 - dense_4_loss_1: 4.0292e-04 - dense_4_loss_2: 1.4015e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.2835e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.5694e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 675/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0237 - dense_4_loss_1: 3.9660e-04 - dense_4_loss_2: 1.3950e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3800e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.5738e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 676/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0237 - dense_4_loss_1: 3.9790e-04 - dense_4_loss_2: 1.3999e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.4220e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0102 - dense_4_loss_8: 3.6340e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 677/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0236 - dense_4_loss_1: 3.9273e-04 - dense_4_loss_2: 1.3920e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3370e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0101 - dense_4_loss_8: 3.4776e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 678/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0235 - dense_4_loss_1: 3.9710e-04 - dense_4_loss_2: 1.3855e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.3348e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0101 - dense_4_loss_8: 3.5288e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 679/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0235 - dense_4_loss_1: 3.9832e-04 - dense_4_loss_2: 1.3892e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0030 - dense_4_loss_5: 2.1560e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0101 - dense_4_loss_8: 3.5389e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 680/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0234 - dense_4_loss_1: 3.8803e-04 - dense_4_loss_2: 1.3907e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2779e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0100 - dense_4_loss_8: 3.4869e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0047 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 681/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0234 - dense_4_loss_1: 3.9224e-04 - dense_4_loss_2: 1.3775e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2657e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0100 - dense_4_loss_8: 3.5801e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 682/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0233 - dense_4_loss_1: 3.9044e-04 - dense_4_loss_2: 1.3804e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2487e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0100 - dense_4_loss_8: 3.4922e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 683/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0233 - dense_4_loss_1: 3.9035e-04 - dense_4_loss_2: 1.3675e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2416e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0099 - dense_4_loss_8: 3.5451e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 684/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0233 - dense_4_loss_1: 3.9012e-04 - dense_4_loss_2: 1.3802e-04 - dense_4_loss_3: 0.0012 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.3218e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0100 - dense_4_loss_8: 3.4875e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 685/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0232 - dense_4_loss_1: 3.8921e-04 - dense_4_loss_2: 1.3692e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2672e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0100 - dense_4_loss_8: 3.5393e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 686/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0232 - dense_4_loss_1: 3.9142e-04 - dense_4_loss_2: 1.3768e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.3431e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0099 - dense_4_loss_8: 3.5255e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 0.9999    \n",
      "Epoch 687/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0231 - dense_4_loss_1: 3.8777e-04 - dense_4_loss_2: 1.3690e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.3207e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0099 - dense_4_loss_8: 3.5572e-05 - dense_4_loss_9: 0.0026 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 688/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0230 - dense_4_loss_1: 3.8509e-04 - dense_4_loss_2: 1.3633e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2472e-05 - dense_4_loss_6: 0.0015 - dense_4_loss_7: 0.0099 - dense_4_loss_8: 3.4530e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 689/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0230 - dense_4_loss_1: 3.8864e-04 - dense_4_loss_2: 1.3587e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.3410e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0099 - dense_4_loss_8: 3.6130e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0046 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 690/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0229 - dense_4_loss_1: 3.8472e-04 - dense_4_loss_2: 1.3587e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.1820e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0098 - dense_4_loss_8: 3.4901e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 691/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0229 - dense_4_loss_1: 3.8581e-04 - dense_4_loss_2: 1.3615e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2269e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0098 - dense_4_loss_8: 3.5005e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 692/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0229 - dense_4_loss_1: 3.8835e-04 - dense_4_loss_2: 1.3642e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2275e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0098 - dense_4_loss_8: 3.5270e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9991 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 693/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0228 - dense_4_loss_1: 3.8240e-04 - dense_4_loss_2: 1.3548e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2821e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.4352e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 694/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0228 - dense_4_loss_1: 3.8359e-04 - dense_4_loss_2: 1.3448e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2332e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.4914e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 695/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0227 - dense_4_loss_1: 3.8702e-04 - dense_4_loss_2: 1.3560e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.1339e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.4568e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 696/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0227 - dense_4_loss_1: 3.8138e-04 - dense_4_loss_2: 1.3554e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.1702e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.5054e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 697/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0227 - dense_4_loss_1: 3.7936e-04 - dense_4_loss_2: 1.3530e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2573e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.5658e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 698/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0226 - dense_4_loss_1: 3.8055e-04 - dense_4_loss_2: 1.3320e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.3272e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0097 - dense_4_loss_8: 3.5181e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0045 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 699/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0225 - dense_4_loss_1: 3.8102e-04 - dense_4_loss_2: 1.3502e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0029 - dense_4_loss_5: 2.2125e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0096 - dense_4_loss_8: 3.4629e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 700/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0224 - dense_4_loss_1: 3.8053e-04 - dense_4_loss_2: 1.3425e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.3211e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0096 - dense_4_loss_8: 3.4516e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 701/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0224 - dense_4_loss_1: 3.7986e-04 - dense_4_loss_2: 1.3355e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2160e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0096 - dense_4_loss_8: 3.4375e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 702/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0224 - dense_4_loss_1: 3.7753e-04 - dense_4_loss_2: 1.3387e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1675e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.3750e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 703/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0223 - dense_4_loss_1: 3.7452e-04 - dense_4_loss_2: 1.3296e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2128e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.4327e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 704/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0223 - dense_4_loss_1: 3.7560e-04 - dense_4_loss_2: 1.3458e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1485e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.4052e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 705/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0223 - dense_4_loss_1: 3.7416e-04 - dense_4_loss_2: 1.3189e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2977e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.4829e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 706/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0222 - dense_4_loss_1: 3.7454e-04 - dense_4_loss_2: 1.3384e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2527e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.4228e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 707/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0221 - dense_4_loss_1: 3.7531e-04 - dense_4_loss_2: 1.3254e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1503e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0095 - dense_4_loss_8: 3.4640e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 708/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 24s - loss: 0.0221 - dense_4_loss_1: 3.7239e-04 - dense_4_loss_2: 1.3277e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2153e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0094 - dense_4_loss_8: 3.3848e-05 - dense_4_loss_9: 0.0025 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 709/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0220 - dense_4_loss_1: 3.7286e-04 - dense_4_loss_2: 1.3148e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.2275e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0094 - dense_4_loss_8: 3.3613e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 710/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0220 - dense_4_loss_1: 3.6868e-04 - dense_4_loss_2: 1.3239e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1840e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0094 - dense_4_loss_8: 3.4862e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0044 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 711/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0220 - dense_4_loss_1: 3.7123e-04 - dense_4_loss_2: 1.3154e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1943e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0094 - dense_4_loss_8: 3.3760e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 712/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0219 - dense_4_loss_1: 3.6771e-04 - dense_4_loss_2: 1.3130e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1919e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0093 - dense_4_loss_8: 3.4588e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 713/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0218 - dense_4_loss_1: 3.7014e-04 - dense_4_loss_2: 1.3137e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1742e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0093 - dense_4_loss_8: 3.4050e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 714/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0219 - dense_4_loss_1: 3.7002e-04 - dense_4_loss_2: 1.3094e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1057e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0093 - dense_4_loss_8: 3.3089e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 715/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0219 - dense_4_loss_1: 3.6562e-04 - dense_4_loss_2: 1.3113e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.0693e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0094 - dense_4_loss_8: 3.4286e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 716/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0217 - dense_4_loss_1: 3.6398e-04 - dense_4_loss_2: 1.3062e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1958e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0093 - dense_4_loss_8: 3.4395e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 717/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0217 - dense_4_loss_1: 3.6975e-04 - dense_4_loss_2: 1.2956e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1978e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0092 - dense_4_loss_8: 3.4470e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 718/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0216 - dense_4_loss_1: 3.6841e-04 - dense_4_loss_2: 1.3032e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1405e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0092 - dense_4_loss_8: 3.3454e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 719/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0216 - dense_4_loss_1: 3.6704e-04 - dense_4_loss_2: 1.3071e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1415e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0092 - dense_4_loss_8: 3.3849e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0043 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 720/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0215 - dense_4_loss_1: 3.6668e-04 - dense_4_loss_2: 1.3108e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1730e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0092 - dense_4_loss_8: 3.4192e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 721/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0215 - dense_4_loss_1: 3.6122e-04 - dense_4_loss_2: 1.3057e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1829e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0092 - dense_4_loss_8: 3.3617e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 722/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0214 - dense_4_loss_1: 3.6137e-04 - dense_4_loss_2: 1.2994e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1162e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0091 - dense_4_loss_8: 3.3153e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 723/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0213 - dense_4_loss_1: 3.6443e-04 - dense_4_loss_2: 1.3008e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0028 - dense_4_loss_5: 2.1019e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0091 - dense_4_loss_8: 3.3954e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 724/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0214 - dense_4_loss_1: 3.6108e-04 - dense_4_loss_2: 1.2902e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0851e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0091 - dense_4_loss_8: 3.3297e-05 - dense_4_loss_9: 0.0024 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 725/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0213 - dense_4_loss_1: 3.5820e-04 - dense_4_loss_2: 1.2937e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1451e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0091 - dense_4_loss_8: 3.4451e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 726/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0213 - dense_4_loss_1: 3.6032e-04 - dense_4_loss_2: 1.2894e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1301e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0091 - dense_4_loss_8: 3.3620e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 727/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0212 - dense_4_loss_1: 3.5989e-04 - dense_4_loss_2: 1.2759e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1427e-05 - dense_4_loss_6: 0.0014 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.2572e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 728/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0212 - dense_4_loss_1: 3.5795e-04 - dense_4_loss_2: 1.2802e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0852e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.3474e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 729/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0211 - dense_4_loss_1: 3.5890e-04 - dense_4_loss_2: 1.2847e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.2264e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.2960e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 730/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0211 - dense_4_loss_1: 3.5603e-04 - dense_4_loss_2: 1.2883e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1213e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.3570e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 731/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0210 - dense_4_loss_1: 3.5775e-04 - dense_4_loss_2: 1.2658e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1830e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.3423e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 732/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0211 - dense_4_loss_1: 3.5509e-04 - dense_4_loss_2: 1.2840e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1157e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0090 - dense_4_loss_8: 3.4235e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 733/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0209 - dense_4_loss_1: 3.5419e-04 - dense_4_loss_2: 1.2784e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1300e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0089 - dense_4_loss_8: 3.2628e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 734/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0210 - dense_4_loss_1: 3.5672e-04 - dense_4_loss_2: 1.2621e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1755e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0089 - dense_4_loss_8: 3.3753e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 735/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0210 - dense_4_loss_1: 3.5414e-04 - dense_4_loss_2: 1.2791e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0944e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0088 - dense_4_loss_8: 3.3629e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0042 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 0.9999    \n",
      "Epoch 736/1000\n",
      "10000/10000 [==============================] - 24s - loss: 0.0208 - dense_4_loss_1: 3.5536e-04 - dense_4_loss_2: 1.2656e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1948e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0089 - dense_4_loss_8: 3.2892e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 737/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0208 - dense_4_loss_1: 3.5579e-04 - dense_4_loss_2: 1.2655e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1847e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0088 - dense_4_loss_8: 3.3974e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 738/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0207 - dense_4_loss_1: 3.4866e-04 - dense_4_loss_2: 1.2658e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0947e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.2925e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 739/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0207 - dense_4_loss_1: 3.5534e-04 - dense_4_loss_2: 1.2618e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0376e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0088 - dense_4_loss_8: 3.2764e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 740/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0206 - dense_4_loss_1: 3.4829e-04 - dense_4_loss_2: 1.2556e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0962e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.3075e-05 - dense_4_loss_9: 0.0023 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 741/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0206 - dense_4_loss_1: 3.5096e-04 - dense_4_loss_2: 1.2538e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.2090e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.3587e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 742/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0206 - dense_4_loss_1: 3.4592e-04 - dense_4_loss_2: 1.2715e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0405e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0088 - dense_4_loss_8: 3.3156e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 743/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0206 - dense_4_loss_1: 3.5034e-04 - dense_4_loss_2: 1.2468e-04 - dense_4_loss_3: 0.0011 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1484e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.3037e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0041 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 744/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0205 - dense_4_loss_1: 3.4752e-04 - dense_4_loss_2: 1.2498e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.0228e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.2863e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 745/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0204 - dense_4_loss_1: 3.4980e-04 - dense_4_loss_2: 1.2552e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0027 - dense_4_loss_5: 2.1287e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.2541e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9998 - dense_4_acc_10: 1.0000    \n",
      "Epoch 746/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0204 - dense_4_loss_1: 3.4535e-04 - dense_4_loss_2: 1.2505e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1111e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.3222e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 747/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0204 - dense_4_loss_1: 3.4481e-04 - dense_4_loss_2: 1.2535e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1043e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0087 - dense_4_loss_8: 3.1900e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 748/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0203 - dense_4_loss_1: 3.4862e-04 - dense_4_loss_2: 1.2393e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0867e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.3184e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9993 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 749/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0203 - dense_4_loss_1: 3.4337e-04 - dense_4_loss_2: 1.2482e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0477e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.2781e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 750/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0202 - dense_4_loss_1: 3.4482e-04 - dense_4_loss_2: 1.2486e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0938e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.1944e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 751/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0203 - dense_4_loss_1: 3.4633e-04 - dense_4_loss_2: 1.2290e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1415e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.3034e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 752/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0201 - dense_4_loss_1: 3.4257e-04 - dense_4_loss_2: 1.2470e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0749e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0085 - dense_4_loss_8: 3.2406e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 753/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0201 - dense_4_loss_1: 3.3995e-04 - dense_4_loss_2: 1.2329e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1412e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0086 - dense_4_loss_8: 3.2714e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9992 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 754/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0201 - dense_4_loss_1: 3.4125e-04 - dense_4_loss_2: 1.2308e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0822e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0085 - dense_4_loss_8: 3.2228e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 755/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0200 - dense_4_loss_1: 3.4116e-04 - dense_4_loss_2: 1.2334e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0456e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0085 - dense_4_loss_8: 3.2376e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 756/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0200 - dense_4_loss_1: 3.4333e-04 - dense_4_loss_2: 1.2389e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0441e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0085 - dense_4_loss_8: 3.2644e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0040 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 757/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0200 - dense_4_loss_1: 3.4021e-04 - dense_4_loss_2: 1.2364e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0372e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.2079e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 758/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0199 - dense_4_loss_1: 3.3973e-04 - dense_4_loss_2: 1.2260e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0862e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.3452e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 759/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0199 - dense_4_loss_1: 3.4014e-04 - dense_4_loss_2: 1.2271e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0722e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.1838e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000      \n",
      "Epoch 760/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0198 - dense_4_loss_1: 3.3699e-04 - dense_4_loss_2: 1.2261e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0459e-05 - dense_4_loss_6: 0.0013 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.2285e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 761/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0198 - dense_4_loss_1: 3.3663e-04 - dense_4_loss_2: 1.2242e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0406e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.2477e-05 - dense_4_loss_9: 0.0022 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 762/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0197 - dense_4_loss_1: 3.3712e-04 - dense_4_loss_2: 1.2190e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0646e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0083 - dense_4_loss_8: 3.2078e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 763/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0197 - dense_4_loss_1: 3.3545e-04 - dense_4_loss_2: 1.2204e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0587e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0084 - dense_4_loss_8: 3.2374e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000       \n",
      "Epoch 764/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0197 - dense_4_loss_1: 3.3517e-04 - dense_4_loss_2: 1.2264e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1203e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0083 - dense_4_loss_8: 3.1962e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000      \n",
      "Epoch 765/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0196 - dense_4_loss_1: 3.3742e-04 - dense_4_loss_2: 1.2216e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0845e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0083 - dense_4_loss_8: 3.2280e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 766/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0196 - dense_4_loss_1: 3.3267e-04 - dense_4_loss_2: 1.2159e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.0157e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0083 - dense_4_loss_8: 3.2359e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 767/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0195 - dense_4_loss_1: 3.3535e-04 - dense_4_loss_2: 1.2071e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1147e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0083 - dense_4_loss_8: 3.2362e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 768/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0195 - dense_4_loss_1: 3.3355e-04 - dense_4_loss_2: 1.2242e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.1716e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0082 - dense_4_loss_8: 3.1750e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000        \n",
      "Epoch 769/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0194 - dense_4_loss_1: 3.3028e-04 - dense_4_loss_2: 1.2075e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0489e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0082 - dense_4_loss_8: 3.1598e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0039 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 770/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0195 - dense_4_loss_1: 3.3328e-04 - dense_4_loss_2: 1.1963e-04 - dense_4_loss_3: 0.0010 - dense_4_loss_4: 0.0026 - dense_4_loss_5: 2.2202e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0082 - dense_4_loss_8: 3.1983e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 771/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0194 - dense_4_loss_1: 3.2991e-04 - dense_4_loss_2: 1.2161e-04 - dense_4_loss_3: 9.9648e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9280e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0082 - dense_4_loss_8: 3.1904e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 772/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.0193 - dense_4_loss_1: 3.2955e-04 - dense_4_loss_2: 1.2188e-04 - dense_4_loss_3: 9.9853e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0523e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0082 - dense_4_loss_8: 3.2499e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000  \n",
      "Epoch 773/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0193 - dense_4_loss_1: 3.3140e-04 - dense_4_loss_2: 1.2033e-04 - dense_4_loss_3: 9.9454e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0860e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.2117e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 774/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0192 - dense_4_loss_1: 3.3040e-04 - dense_4_loss_2: 1.1959e-04 - dense_4_loss_3: 9.9656e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0028e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.1487e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 775/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0193 - dense_4_loss_1: 3.2929e-04 - dense_4_loss_2: 1.2132e-04 - dense_4_loss_3: 9.9310e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9976e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.1424e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 776/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0192 - dense_4_loss_1: 3.2691e-04 - dense_4_loss_2: 1.1911e-04 - dense_4_loss_3: 9.9001e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0054e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.2628e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9994 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 777/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0191 - dense_4_loss_1: 3.2801e-04 - dense_4_loss_2: 1.1973e-04 - dense_4_loss_3: 9.9235e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0260e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.1763e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 778/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0191 - dense_4_loss_1: 3.2779e-04 - dense_4_loss_2: 1.1918e-04 - dense_4_loss_3: 9.8776e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.2028e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.1216e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 779/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0191 - dense_4_loss_1: 3.2545e-04 - dense_4_loss_2: 1.1876e-04 - dense_4_loss_3: 9.8781e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9813e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0081 - dense_4_loss_8: 3.1737e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 780/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0190 - dense_4_loss_1: 3.2509e-04 - dense_4_loss_2: 1.1905e-04 - dense_4_loss_3: 9.7878e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.1286e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0080 - dense_4_loss_8: 3.1120e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0038 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 781/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0190 - dense_4_loss_1: 3.2823e-04 - dense_4_loss_2: 1.1917e-04 - dense_4_loss_3: 9.8643e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.1600e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0080 - dense_4_loss_8: 3.1644e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 782/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0189 - dense_4_loss_1: 3.2510e-04 - dense_4_loss_2: 1.1894e-04 - dense_4_loss_3: 9.8112e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.1250e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0080 - dense_4_loss_8: 3.2064e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 783/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0189 - dense_4_loss_1: 3.2396e-04 - dense_4_loss_2: 1.1837e-04 - dense_4_loss_3: 9.7871e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.1082e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0080 - dense_4_loss_8: 3.1855e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 784/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0189 - dense_4_loss_1: 3.2396e-04 - dense_4_loss_2: 1.1893e-04 - dense_4_loss_3: 9.7888e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.1328e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0080 - dense_4_loss_8: 3.1273e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 785/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0188 - dense_4_loss_1: 3.2346e-04 - dense_4_loss_2: 1.1828e-04 - dense_4_loss_3: 9.8194e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0375e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1218e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 786/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 27s - loss: 0.0188 - dense_4_loss_1: 3.2118e-04 - dense_4_loss_2: 1.1795e-04 - dense_4_loss_3: 9.7133e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0185e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1501e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 787/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.0188 - dense_4_loss_1: 3.2497e-04 - dense_4_loss_2: 1.1847e-04 - dense_4_loss_3: 9.7677e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9858e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1253e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 788/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0188 - dense_4_loss_1: 3.2060e-04 - dense_4_loss_2: 1.1650e-04 - dense_4_loss_3: 9.7070e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0524e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1661e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 789/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0187 - dense_4_loss_1: 3.2178e-04 - dense_4_loss_2: 1.1708e-04 - dense_4_loss_3: 9.7049e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0661e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1388e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 790/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0187 - dense_4_loss_1: 3.2189e-04 - dense_4_loss_2: 1.1710e-04 - dense_4_loss_3: 9.7107e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0016e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.1116e-05 - dense_4_loss_9: 0.0021 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 791/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0186 - dense_4_loss_1: 3.1774e-04 - dense_4_loss_2: 1.1767e-04 - dense_4_loss_3: 9.6323e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0632e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0079 - dense_4_loss_8: 3.1376e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 792/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0186 - dense_4_loss_1: 3.2130e-04 - dense_4_loss_2: 1.1725e-04 - dense_4_loss_3: 9.6853e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0040e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.1145e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 793/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0186 - dense_4_loss_1: 3.1700e-04 - dense_4_loss_2: 1.1664e-04 - dense_4_loss_3: 9.6037e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9609e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.0881e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0037 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 794/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0185 - dense_4_loss_1: 3.1491e-04 - dense_4_loss_2: 1.1729e-04 - dense_4_loss_3: 9.6508e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 1.9904e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.0914e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 795/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0185 - dense_4_loss_1: 3.1664e-04 - dense_4_loss_2: 1.1713e-04 - dense_4_loss_3: 9.6230e-04 - dense_4_loss_4: 0.0025 - dense_4_loss_5: 2.0013e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.1306e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 796/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0184 - dense_4_loss_1: 3.1627e-04 - dense_4_loss_2: 1.1636e-04 - dense_4_loss_3: 9.6046e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.0883e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.1171e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 797/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0184 - dense_4_loss_1: 3.1537e-04 - dense_4_loss_2: 1.1687e-04 - dense_4_loss_3: 9.5845e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9318e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0077 - dense_4_loss_8: 3.1849e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 798/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0184 - dense_4_loss_1: 3.1524e-04 - dense_4_loss_2: 1.1694e-04 - dense_4_loss_3: 9.6080e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.1034e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0078 - dense_4_loss_8: 3.1001e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 799/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0183 - dense_4_loss_1: 3.1639e-04 - dense_4_loss_2: 1.1627e-04 - dense_4_loss_3: 9.5549e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.1068e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0077 - dense_4_loss_8: 3.1139e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 800/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0183 - dense_4_loss_1: 3.1945e-04 - dense_4_loss_2: 1.1619e-04 - dense_4_loss_3: 9.5146e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9447e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0077 - dense_4_loss_8: 3.1123e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 801/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0183 - dense_4_loss_1: 3.1214e-04 - dense_4_loss_2: 1.1717e-04 - dense_4_loss_3: 9.5376e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9743e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0077 - dense_4_loss_8: 3.0492e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 802/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0182 - dense_4_loss_1: 3.1223e-04 - dense_4_loss_2: 1.1578e-04 - dense_4_loss_3: 9.5210e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9175e-05 - dense_4_loss_6: 0.0012 - dense_4_loss_7: 0.0076 - dense_4_loss_8: 3.0449e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 803/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0182 - dense_4_loss_1: 3.1502e-04 - dense_4_loss_2: 1.1524e-04 - dense_4_loss_3: 9.5142e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.1370e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0076 - dense_4_loss_8: 3.1022e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 804/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0182 - dense_4_loss_1: 3.1536e-04 - dense_4_loss_2: 1.1514e-04 - dense_4_loss_3: 9.5158e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.8821e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0076 - dense_4_loss_8: 3.0663e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 0.9999 - dense_4_acc_10: 1.0000    \n",
      "Epoch 805/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0181 - dense_4_loss_1: 3.0879e-04 - dense_4_loss_2: 1.1635e-04 - dense_4_loss_3: 9.4510e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9648e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0077 - dense_4_loss_8: 3.1472e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 806/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0181 - dense_4_loss_1: 3.1102e-04 - dense_4_loss_2: 1.1416e-04 - dense_4_loss_3: 9.4482e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.0554e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0076 - dense_4_loss_8: 3.0751e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0036 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 807/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0180 - dense_4_loss_1: 3.1060e-04 - dense_4_loss_2: 1.1451e-04 - dense_4_loss_3: 9.4489e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9820e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0076 - dense_4_loss_8: 3.0436e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 808/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0180 - dense_4_loss_1: 3.0943e-04 - dense_4_loss_2: 1.1477e-04 - dense_4_loss_3: 9.4604e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9600e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.0536e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 809/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0180 - dense_4_loss_1: 3.0817e-04 - dense_4_loss_2: 1.1445e-04 - dense_4_loss_3: 9.3983e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9922e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.0909e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 810/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0179 - dense_4_loss_1: 3.0797e-04 - dense_4_loss_2: 1.1393e-04 - dense_4_loss_3: 9.3988e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9601e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.1185e-05 - dense_4_loss_9: 0.0020 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 811/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0179 - dense_4_loss_1: 3.0643e-04 - dense_4_loss_2: 1.1511e-04 - dense_4_loss_3: 9.3500e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.8778e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.0211e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 812/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0179 - dense_4_loss_1: 3.0999e-04 - dense_4_loss_2: 1.1335e-04 - dense_4_loss_3: 9.3918e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.0356e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.1546e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 813/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0179 - dense_4_loss_1: 3.0742e-04 - dense_4_loss_2: 1.1455e-04 - dense_4_loss_3: 9.3664e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9704e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 2.9872e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 814/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.0178 - dense_4_loss_1: 3.0447e-04 - dense_4_loss_2: 1.1353e-04 - dense_4_loss_3: 9.3191e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9174e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0075 - dense_4_loss_8: 3.0283e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 815/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0178 - dense_4_loss_1: 3.0672e-04 - dense_4_loss_2: 1.1386e-04 - dense_4_loss_3: 9.3341e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 2.0602e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0712e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 816/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.0177 - dense_4_loss_1: 3.0603e-04 - dense_4_loss_2: 1.1399e-04 - dense_4_loss_3: 9.3129e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9185e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0245e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 817/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0177 - dense_4_loss_1: 3.0495e-04 - dense_4_loss_2: 1.1337e-04 - dense_4_loss_3: 9.3132e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9553e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0671e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 818/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0177 - dense_4_loss_1: 3.0368e-04 - dense_4_loss_2: 1.1267e-04 - dense_4_loss_3: 9.2788e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9924e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0263e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 819/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0176 - dense_4_loss_1: 3.0533e-04 - dense_4_loss_2: 1.1297e-04 - dense_4_loss_3: 9.2885e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9757e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0260e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 820/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0176 - dense_4_loss_1: 3.0128e-04 - dense_4_loss_2: 1.1339e-04 - dense_4_loss_3: 9.2326e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9134e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0414e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9995 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 821/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0176 - dense_4_loss_1: 3.0170e-04 - dense_4_loss_2: 1.1297e-04 - dense_4_loss_3: 9.2908e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.9452e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0074 - dense_4_loss_8: 3.0248e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 822/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0175 - dense_4_loss_1: 3.0227e-04 - dense_4_loss_2: 1.1154e-04 - dense_4_loss_3: 9.1919e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9602e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 3.0377e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 823/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0175 - dense_4_loss_1: 2.9904e-04 - dense_4_loss_2: 1.1401e-04 - dense_4_loss_3: 9.2415e-04 - dense_4_loss_4: 0.0024 - dense_4_loss_5: 1.8667e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 3.0281e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0035 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 824/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0175 - dense_4_loss_1: 3.0300e-04 - dense_4_loss_2: 1.1232e-04 - dense_4_loss_3: 9.1795e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9652e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 3.0022e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 825/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0174 - dense_4_loss_1: 2.9976e-04 - dense_4_loss_2: 1.1219e-04 - dense_4_loss_3: 9.1955e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8844e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 3.0005e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 826/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0174 - dense_4_loss_1: 3.0139e-04 - dense_4_loss_2: 1.1175e-04 - dense_4_loss_3: 9.1655e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 2.0351e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 3.0587e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 827/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0173 - dense_4_loss_1: 2.9740e-04 - dense_4_loss_2: 1.1272e-04 - dense_4_loss_3: 9.1435e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8979e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0073 - dense_4_loss_8: 2.9400e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 828/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0173 - dense_4_loss_1: 3.0162e-04 - dense_4_loss_2: 1.1179e-04 - dense_4_loss_3: 9.1433e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9472e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 3.0276e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 829/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0173 - dense_4_loss_1: 2.9672e-04 - dense_4_loss_2: 1.1179e-04 - dense_4_loss_3: 9.0971e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9760e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 2.9707e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 830/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0173 - dense_4_loss_1: 2.9749e-04 - dense_4_loss_2: 1.1121e-04 - dense_4_loss_3: 9.0500e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9543e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 3.0390e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 831/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0172 - dense_4_loss_1: 2.9797e-04 - dense_4_loss_2: 1.1180e-04 - dense_4_loss_3: 9.1379e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9260e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 2.9781e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 832/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0172 - dense_4_loss_1: 2.9751e-04 - dense_4_loss_2: 1.1182e-04 - dense_4_loss_3: 9.0713e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9586e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 3.0806e-05 - dense_4_loss_9: 0.0019 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 833/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0172 - dense_4_loss_1: 2.9553e-04 - dense_4_loss_2: 1.1194e-04 - dense_4_loss_3: 9.0912e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8709e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 2.9857e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 834/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0171 - dense_4_loss_1: 2.9493e-04 - dense_4_loss_2: 1.1043e-04 - dense_4_loss_3: 9.0284e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 2.0110e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0072 - dense_4_loss_8: 2.9138e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 835/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0171 - dense_4_loss_1: 2.9768e-04 - dense_4_loss_2: 1.0988e-04 - dense_4_loss_3: 9.0136e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9121e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 3.0761e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 836/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0170 - dense_4_loss_1: 2.9494e-04 - dense_4_loss_2: 1.1137e-04 - dense_4_loss_3: 9.0342e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9896e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 2.9073e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 837/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0170 - dense_4_loss_1: 2.9252e-04 - dense_4_loss_2: 1.1012e-04 - dense_4_loss_3: 8.9726e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9287e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 2.9365e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 838/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0170 - dense_4_loss_1: 2.9253e-04 - dense_4_loss_2: 1.1089e-04 - dense_4_loss_3: 8.9939e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8532e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 3.0332e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0034 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 839/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0170 - dense_4_loss_1: 2.9371e-04 - dense_4_loss_2: 1.0989e-04 - dense_4_loss_3: 8.9778e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 2.0634e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 3.0026e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 840/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0169 - dense_4_loss_1: 2.9456e-04 - dense_4_loss_2: 1.1024e-04 - dense_4_loss_3: 9.0415e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8717e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 2.9734e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 841/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0169 - dense_4_loss_1: 2.8951e-04 - dense_4_loss_2: 1.1012e-04 - dense_4_loss_3: 8.9416e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9601e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0071 - dense_4_loss_8: 2.9361e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 842/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0168 - dense_4_loss_1: 2.9108e-04 - dense_4_loss_2: 1.0930e-04 - dense_4_loss_3: 8.9282e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9347e-05 - dense_4_loss_6: 0.0011 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9735e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 843/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0168 - dense_4_loss_1: 2.9101e-04 - dense_4_loss_2: 1.1000e-04 - dense_4_loss_3: 8.9300e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8754e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9089e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 844/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0168 - dense_4_loss_1: 2.9070e-04 - dense_4_loss_2: 1.0951e-04 - dense_4_loss_3: 8.9436e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 2.0052e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9766e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 845/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0167 - dense_4_loss_1: 2.9012e-04 - dense_4_loss_2: 1.0934e-04 - dense_4_loss_3: 8.8875e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8414e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9526e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 846/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0167 - dense_4_loss_1: 2.9016e-04 - dense_4_loss_2: 1.0907e-04 - dense_4_loss_3: 8.8780e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9374e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9590e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 847/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0167 - dense_4_loss_1: 2.8839e-04 - dense_4_loss_2: 1.0981e-04 - dense_4_loss_3: 8.9138e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8400e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9349e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 848/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0167 - dense_4_loss_1: 2.8869e-04 - dense_4_loss_2: 1.0856e-04 - dense_4_loss_3: 8.8873e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8507e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0070 - dense_4_loss_8: 2.9048e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 849/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0167 - dense_4_loss_1: 2.8907e-04 - dense_4_loss_2: 1.0841e-04 - dense_4_loss_3: 8.8597e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.9661e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.9712e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 850/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0166 - dense_4_loss_1: 2.8672e-04 - dense_4_loss_2: 1.0811e-04 - dense_4_loss_3: 8.8150e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8845e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.9662e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 851/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0166 - dense_4_loss_1: 2.8716e-04 - dense_4_loss_2: 1.0799e-04 - dense_4_loss_3: 8.7945e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8889e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.8573e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 852/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0166 - dense_4_loss_1: 2.8853e-04 - dense_4_loss_2: 1.0768e-04 - dense_4_loss_3: 8.8448e-04 - dense_4_loss_4: 0.0023 - dense_4_loss_5: 1.8560e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.9717e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 853/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0165 - dense_4_loss_1: 2.8337e-04 - dense_4_loss_2: 1.0811e-04 - dense_4_loss_3: 8.8023e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8014e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.8926e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0033 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 854/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0165 - dense_4_loss_1: 2.8703e-04 - dense_4_loss_2: 1.0820e-04 - dense_4_loss_3: 8.8018e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8850e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.9679e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 855/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0164 - dense_4_loss_1: 2.8395e-04 - dense_4_loss_2: 1.0730e-04 - dense_4_loss_3: 8.7369e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8853e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0069 - dense_4_loss_8: 2.8840e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 856/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0164 - dense_4_loss_1: 2.8472e-04 - dense_4_loss_2: 1.0753e-04 - dense_4_loss_3: 8.7373e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.9100e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.9219e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 857/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0164 - dense_4_loss_1: 2.8546e-04 - dense_4_loss_2: 1.0753e-04 - dense_4_loss_3: 8.7457e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8442e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.8387e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 858/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0163 - dense_4_loss_1: 2.8027e-04 - dense_4_loss_2: 1.0789e-04 - dense_4_loss_3: 8.7057e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8127e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.8979e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000      \n",
      "Epoch 859/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0163 - dense_4_loss_1: 2.8267e-04 - dense_4_loss_2: 1.0741e-04 - dense_4_loss_3: 8.7599e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8510e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.8657e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000     \n",
      "Epoch 860/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0163 - dense_4_loss_1: 2.8224e-04 - dense_4_loss_2: 1.0623e-04 - dense_4_loss_3: 8.6971e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.9106e-05 - dense_4_loss_6: 9.9111e-04 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.8746e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 861/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0162 - dense_4_loss_1: 2.8184e-04 - dense_4_loss_2: 1.0687e-04 - dense_4_loss_3: 8.6775e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8737e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.9055e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 862/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0162 - dense_4_loss_1: 2.8060e-04 - dense_4_loss_2: 1.0697e-04 - dense_4_loss_3: 8.6843e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8629e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.9019e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 863/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0162 - dense_4_loss_1: 2.8063e-04 - dense_4_loss_2: 1.0657e-04 - dense_4_loss_3: 8.6668e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8485e-05 - dense_4_loss_6: 9.8372e-04 - dense_4_loss_7: 0.0068 - dense_4_loss_8: 2.9111e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 864/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 26s - loss: 0.0162 - dense_4_loss_1: 2.7834e-04 - dense_4_loss_2: 1.0585e-04 - dense_4_loss_3: 8.6361e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8339e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.8979e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 865/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0161 - dense_4_loss_1: 2.8032e-04 - dense_4_loss_2: 1.0595e-04 - dense_4_loss_3: 8.6394e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.9147e-05 - dense_4_loss_6: 0.0010 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.8734e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 866/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0161 - dense_4_loss_1: 2.7989e-04 - dense_4_loss_2: 1.0626e-04 - dense_4_loss_3: 8.6832e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8606e-05 - dense_4_loss_6: 9.9471e-04 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.8934e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000   \n",
      "Epoch 867/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0161 - dense_4_loss_1: 2.7587e-04 - dense_4_loss_2: 1.0508e-04 - dense_4_loss_3: 8.5940e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.7900e-05 - dense_4_loss_6: 9.7658e-04 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.9319e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 868/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0161 - dense_4_loss_1: 2.7883e-04 - dense_4_loss_2: 1.0524e-04 - dense_4_loss_3: 8.6280e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.9510e-05 - dense_4_loss_6: 9.9676e-04 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.7954e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0032 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000   \n",
      "Epoch 869/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0161 - dense_4_loss_1: 2.7768e-04 - dense_4_loss_2: 1.0588e-04 - dense_4_loss_3: 8.6099e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8895e-05 - dense_4_loss_6: 9.8637e-04 - dense_4_loss_7: 0.0067 - dense_4_loss_8: 2.9173e-05 - dense_4_loss_9: 0.0018 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 870/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0160 - dense_4_loss_1: 2.7698e-04 - dense_4_loss_2: 1.0603e-04 - dense_4_loss_3: 8.5714e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8492e-05 - dense_4_loss_6: 9.9834e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8606e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9996 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000\n",
      "Epoch 871/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0159 - dense_4_loss_1: 2.7605e-04 - dense_4_loss_2: 1.0534e-04 - dense_4_loss_3: 8.5614e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8309e-05 - dense_4_loss_6: 9.7027e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8791e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 872/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0159 - dense_4_loss_1: 2.7587e-04 - dense_4_loss_2: 1.0528e-04 - dense_4_loss_3: 8.5427e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8489e-05 - dense_4_loss_6: 9.8464e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8851e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 873/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0159 - dense_4_loss_1: 2.7310e-04 - dense_4_loss_2: 1.0452e-04 - dense_4_loss_3: 8.4826e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.9265e-05 - dense_4_loss_6: 9.7293e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.9127e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 874/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0159 - dense_4_loss_1: 2.7588e-04 - dense_4_loss_2: 1.0458e-04 - dense_4_loss_3: 8.5473e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.7736e-05 - dense_4_loss_6: 9.6225e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8508e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 875/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0158 - dense_4_loss_1: 2.7528e-04 - dense_4_loss_2: 1.0578e-04 - dense_4_loss_3: 8.5376e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8308e-05 - dense_4_loss_6: 9.9460e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8038e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 876/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0158 - dense_4_loss_1: 2.7302e-04 - dense_4_loss_2: 1.0472e-04 - dense_4_loss_3: 8.4598e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8472e-05 - dense_4_loss_6: 9.9021e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.9211e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 877/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0158 - dense_4_loss_1: 2.7556e-04 - dense_4_loss_2: 1.0451e-04 - dense_4_loss_3: 8.4851e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8147e-05 - dense_4_loss_6: 9.5398e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8012e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 878/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0158 - dense_4_loss_1: 2.7230e-04 - dense_4_loss_2: 1.0494e-04 - dense_4_loss_3: 8.4668e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.7980e-05 - dense_4_loss_6: 9.7268e-04 - dense_4_loss_7: 0.0066 - dense_4_loss_8: 2.8579e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 879/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0157 - dense_4_loss_1: 2.7329e-04 - dense_4_loss_2: 1.0393e-04 - dense_4_loss_3: 8.4774e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.8593e-05 - dense_4_loss_6: 9.6664e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8127e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 880/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0157 - dense_4_loss_1: 2.7195e-04 - dense_4_loss_2: 1.0454e-04 - dense_4_loss_3: 8.4701e-04 - dense_4_loss_4: 0.0022 - dense_4_loss_5: 1.7745e-05 - dense_4_loss_6: 9.6028e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8413e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 881/1000\n",
      "10000/10000 [==============================] - 29s - loss: 0.0156 - dense_4_loss_1: 2.7178e-04 - dense_4_loss_2: 1.0351e-04 - dense_4_loss_3: 8.4028e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8289e-05 - dense_4_loss_6: 9.5512e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8162e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 882/1000\n",
      "10000/10000 [==============================] - 28s - loss: 0.0156 - dense_4_loss_1: 2.7193e-04 - dense_4_loss_2: 1.0366e-04 - dense_4_loss_3: 8.4132e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8191e-05 - dense_4_loss_6: 9.8055e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8363e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 883/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0156 - dense_4_loss_1: 2.7129e-04 - dense_4_loss_2: 1.0432e-04 - dense_4_loss_3: 8.4396e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7859e-05 - dense_4_loss_6: 9.6011e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8839e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 884/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0156 - dense_4_loss_1: 2.7049e-04 - dense_4_loss_2: 1.0383e-04 - dense_4_loss_3: 8.4001e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7731e-05 - dense_4_loss_6: 9.7732e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8371e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 885/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0155 - dense_4_loss_1: 2.6924e-04 - dense_4_loss_2: 1.0352e-04 - dense_4_loss_3: 8.4028e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7814e-05 - dense_4_loss_6: 9.5106e-04 - dense_4_loss_7: 0.0065 - dense_4_loss_8: 2.8090e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9997 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 886/1000\n",
      "10000/10000 [==============================] - 27s - loss: 0.0155 - dense_4_loss_1: 2.7010e-04 - dense_4_loss_2: 1.0318e-04 - dense_4_loss_3: 8.3698e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8041e-05 - dense_4_loss_6: 9.4563e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8488e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 887/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0155 - dense_4_loss_1: 2.6964e-04 - dense_4_loss_2: 1.0286e-04 - dense_4_loss_3: 8.3548e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8405e-05 - dense_4_loss_6: 9.7518e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8283e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0031 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 888/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0155 - dense_4_loss_1: 2.6858e-04 - dense_4_loss_2: 1.0309e-04 - dense_4_loss_3: 8.3777e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8951e-05 - dense_4_loss_6: 9.5297e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8136e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 889/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0155 - dense_4_loss_1: 2.6788e-04 - dense_4_loss_2: 1.0321e-04 - dense_4_loss_3: 8.3442e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7627e-05 - dense_4_loss_6: 9.4875e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8239e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 890/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 26s - loss: 0.0154 - dense_4_loss_1: 2.6900e-04 - dense_4_loss_2: 1.0280e-04 - dense_4_loss_3: 8.3294e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8999e-05 - dense_4_loss_6: 9.4955e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.7906e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 891/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0154 - dense_4_loss_1: 2.6533e-04 - dense_4_loss_2: 1.0273e-04 - dense_4_loss_3: 8.3266e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7917e-05 - dense_4_loss_6: 9.3095e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8805e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 892/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0154 - dense_4_loss_1: 2.6682e-04 - dense_4_loss_2: 1.0227e-04 - dense_4_loss_3: 8.2899e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8117e-05 - dense_4_loss_6: 9.5060e-04 - dense_4_loss_7: 0.0064 - dense_4_loss_8: 2.8203e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 893/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0153 - dense_4_loss_1: 2.6746e-04 - dense_4_loss_2: 1.0177e-04 - dense_4_loss_3: 8.3015e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7948e-05 - dense_4_loss_6: 9.2791e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7487e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 894/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0153 - dense_4_loss_1: 2.6570e-04 - dense_4_loss_2: 1.0101e-04 - dense_4_loss_3: 8.2929e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7271e-05 - dense_4_loss_6: 9.4011e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.8259e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 895/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0153 - dense_4_loss_1: 2.6345e-04 - dense_4_loss_2: 1.0186e-04 - dense_4_loss_3: 8.2325e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7706e-05 - dense_4_loss_6: 9.3258e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7762e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 896/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0152 - dense_4_loss_1: 2.6496e-04 - dense_4_loss_2: 1.0194e-04 - dense_4_loss_3: 8.2585e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7660e-05 - dense_4_loss_6: 9.3538e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7938e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 897/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0152 - dense_4_loss_1: 2.6334e-04 - dense_4_loss_2: 1.0123e-04 - dense_4_loss_3: 8.2262e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8038e-05 - dense_4_loss_6: 9.2589e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7853e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 898/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0152 - dense_4_loss_1: 2.6583e-04 - dense_4_loss_2: 1.0177e-04 - dense_4_loss_3: 8.2455e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7624e-05 - dense_4_loss_6: 9.2737e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.8202e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 899/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0152 - dense_4_loss_1: 2.6263e-04 - dense_4_loss_2: 1.0128e-04 - dense_4_loss_3: 8.2159e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7650e-05 - dense_4_loss_6: 9.3903e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.8108e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 900/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0151 - dense_4_loss_1: 2.6330e-04 - dense_4_loss_2: 1.0091e-04 - dense_4_loss_3: 8.2171e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.8142e-05 - dense_4_loss_6: 9.0881e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7511e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 901/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0151 - dense_4_loss_1: 2.6147e-04 - dense_4_loss_2: 1.0139e-04 - dense_4_loss_3: 8.1930e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7191e-05 - dense_4_loss_6: 9.4037e-04 - dense_4_loss_7: 0.0063 - dense_4_loss_8: 2.7806e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 902/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0151 - dense_4_loss_1: 2.6204e-04 - dense_4_loss_2: 1.0058e-04 - dense_4_loss_3: 8.1676e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7430e-05 - dense_4_loss_6: 9.3396e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7730e-05 - dense_4_loss_9: 0.0017 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 903/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0150 - dense_4_loss_1: 2.6301e-04 - dense_4_loss_2: 1.0030e-04 - dense_4_loss_3: 8.1701e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7586e-05 - dense_4_loss_6: 9.3680e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.8002e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 904/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0150 - dense_4_loss_1: 2.5979e-04 - dense_4_loss_2: 1.0124e-04 - dense_4_loss_3: 8.1446e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.6820e-05 - dense_4_loss_6: 9.1909e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7756e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 905/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0150 - dense_4_loss_1: 2.5916e-04 - dense_4_loss_2: 1.0053e-04 - dense_4_loss_3: 8.1174e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7385e-05 - dense_4_loss_6: 9.6874e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7398e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 906/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0150 - dense_4_loss_1: 2.6017e-04 - dense_4_loss_2: 1.0070e-04 - dense_4_loss_3: 8.1311e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7679e-05 - dense_4_loss_6: 9.0633e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7657e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0030 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 907/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0149 - dense_4_loss_1: 2.6209e-04 - dense_4_loss_2: 9.9900e-05 - dense_4_loss_3: 8.1327e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7730e-05 - dense_4_loss_6: 9.1747e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7777e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 908/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0149 - dense_4_loss_1: 2.5790e-04 - dense_4_loss_2: 9.9955e-05 - dense_4_loss_3: 8.0876e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7631e-05 - dense_4_loss_6: 9.0447e-04 - dense_4_loss_7: 0.0062 - dense_4_loss_8: 2.7809e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 909/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0149 - dense_4_loss_1: 2.5969e-04 - dense_4_loss_2: 9.9405e-05 - dense_4_loss_3: 8.1000e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7585e-05 - dense_4_loss_6: 9.1300e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7475e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 910/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0148 - dense_4_loss_1: 2.5737e-04 - dense_4_loss_2: 1.0041e-04 - dense_4_loss_3: 8.0798e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7374e-05 - dense_4_loss_6: 9.1554e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7280e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 911/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0148 - dense_4_loss_1: 2.5697e-04 - dense_4_loss_2: 9.9993e-05 - dense_4_loss_3: 8.0694e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7909e-05 - dense_4_loss_6: 9.2009e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7732e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 912/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0148 - dense_4_loss_1: 2.5775e-04 - dense_4_loss_2: 9.9205e-05 - dense_4_loss_3: 8.0372e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.6817e-05 - dense_4_loss_6: 9.0716e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7355e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 913/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0147 - dense_4_loss_1: 2.5663e-04 - dense_4_loss_2: 9.8924e-05 - dense_4_loss_3: 8.0211e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7894e-05 - dense_4_loss_6: 9.0373e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7340e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 914/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0147 - dense_4_loss_1: 2.5677e-04 - dense_4_loss_2: 9.8895e-05 - dense_4_loss_3: 8.0505e-04 - dense_4_loss_4: 0.0021 - dense_4_loss_5: 1.7238e-05 - dense_4_loss_6: 9.0370e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7327e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 915/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0147 - dense_4_loss_1: 2.5530e-04 - dense_4_loss_2: 9.9399e-05 - dense_4_loss_3: 8.0090e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7539e-05 - dense_4_loss_6: 9.2246e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7778e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 916/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0147 - dense_4_loss_1: 2.5592e-04 - dense_4_loss_2: 9.8825e-05 - dense_4_loss_3: 8.0270e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7184e-05 - dense_4_loss_6: 9.0151e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7033e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 917/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0146 - dense_4_loss_1: 2.5348e-04 - dense_4_loss_2: 9.9109e-05 - dense_4_loss_3: 7.9680e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7373e-05 - dense_4_loss_6: 8.9926e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7010e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 918/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0146 - dense_4_loss_1: 2.5813e-04 - dense_4_loss_2: 9.8162e-05 - dense_4_loss_3: 8.0031e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7274e-05 - dense_4_loss_6: 9.0075e-04 - dense_4_loss_7: 0.0061 - dense_4_loss_8: 2.7192e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9998 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 919/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0146 - dense_4_loss_1: 2.5281e-04 - dense_4_loss_2: 9.8878e-05 - dense_4_loss_3: 7.9620e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6888e-05 - dense_4_loss_6: 8.8819e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7032e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 920/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0146 - dense_4_loss_1: 2.5491e-04 - dense_4_loss_2: 9.8329e-05 - dense_4_loss_3: 7.9626e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7746e-05 - dense_4_loss_6: 8.9738e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7238e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 921/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0146 - dense_4_loss_1: 2.5398e-04 - dense_4_loss_2: 9.8767e-05 - dense_4_loss_3: 7.9533e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6974e-05 - dense_4_loss_6: 8.9058e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7570e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 922/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0145 - dense_4_loss_1: 2.5161e-04 - dense_4_loss_2: 9.8955e-05 - dense_4_loss_3: 7.9293e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6746e-05 - dense_4_loss_6: 8.9093e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7398e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 923/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0145 - dense_4_loss_1: 2.5307e-04 - dense_4_loss_2: 9.7495e-05 - dense_4_loss_3: 7.9428e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7538e-05 - dense_4_loss_6: 8.9503e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.6806e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 924/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0145 - dense_4_loss_1: 2.5070e-04 - dense_4_loss_2: 9.8016e-05 - dense_4_loss_3: 7.9288e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7217e-05 - dense_4_loss_6: 8.8683e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7102e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0029 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 925/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0145 - dense_4_loss_1: 2.5149e-04 - dense_4_loss_2: 9.7336e-05 - dense_4_loss_3: 7.9190e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6685e-05 - dense_4_loss_6: 8.8278e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.6646e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 926/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0144 - dense_4_loss_1: 2.5239e-04 - dense_4_loss_2: 9.7711e-05 - dense_4_loss_3: 7.8770e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7212e-05 - dense_4_loss_6: 8.8686e-04 - dense_4_loss_7: 0.0060 - dense_4_loss_8: 2.7852e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 927/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0144 - dense_4_loss_1: 2.5252e-04 - dense_4_loss_2: 9.7637e-05 - dense_4_loss_3: 7.8997e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6485e-05 - dense_4_loss_6: 8.8915e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.7093e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 928/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0144 - dense_4_loss_1: 2.5016e-04 - dense_4_loss_2: 9.7430e-05 - dense_4_loss_3: 7.8696e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6855e-05 - dense_4_loss_6: 8.7258e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.6762e-05 - dense_4_loss_9: 0.0016 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 929/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0143 - dense_4_loss_1: 2.5238e-04 - dense_4_loss_2: 9.7247e-05 - dense_4_loss_3: 7.8265e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6992e-05 - dense_4_loss_6: 8.8478e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.7047e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 930/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0143 - dense_4_loss_1: 2.4763e-04 - dense_4_loss_2: 9.7425e-05 - dense_4_loss_3: 7.8327e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6895e-05 - dense_4_loss_6: 8.7754e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.7392e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 931/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0143 - dense_4_loss_1: 2.4916e-04 - dense_4_loss_2: 9.6809e-05 - dense_4_loss_3: 7.8328e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6835e-05 - dense_4_loss_6: 8.8223e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.7073e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 932/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0143 - dense_4_loss_1: 2.4797e-04 - dense_4_loss_2: 9.6373e-05 - dense_4_loss_3: 7.8221e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6918e-05 - dense_4_loss_6: 8.6492e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.6446e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 933/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0142 - dense_4_loss_1: 2.4843e-04 - dense_4_loss_2: 9.6450e-05 - dense_4_loss_3: 7.8270e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7303e-05 - dense_4_loss_6: 8.7993e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.7442e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 934/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0142 - dense_4_loss_1: 2.4541e-04 - dense_4_loss_2: 9.6650e-05 - dense_4_loss_3: 7.7873e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6913e-05 - dense_4_loss_6: 8.7471e-04 - dense_4_loss_7: 0.0059 - dense_4_loss_8: 2.6775e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 935/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0142 - dense_4_loss_1: 2.4689e-04 - dense_4_loss_2: 9.6483e-05 - dense_4_loss_3: 7.7881e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6767e-05 - dense_4_loss_6: 8.5658e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6950e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 936/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0142 - dense_4_loss_1: 2.4781e-04 - dense_4_loss_2: 9.6411e-05 - dense_4_loss_3: 7.7895e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7122e-05 - dense_4_loss_6: 8.6905e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6694e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 937/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0142 - dense_4_loss_1: 2.4624e-04 - dense_4_loss_2: 9.6375e-05 - dense_4_loss_3: 7.7853e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6452e-05 - dense_4_loss_6: 8.6909e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.7203e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 938/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0141 - dense_4_loss_1: 2.4577e-04 - dense_4_loss_2: 9.5313e-05 - dense_4_loss_3: 7.7423e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7570e-05 - dense_4_loss_6: 8.6135e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.7273e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 939/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0141 - dense_4_loss_1: 2.4578e-04 - dense_4_loss_2: 9.5480e-05 - dense_4_loss_3: 7.7371e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7273e-05 - dense_4_loss_6: 8.6447e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6418e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 940/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0141 - dense_4_loss_1: 2.4571e-04 - dense_4_loss_2: 9.5592e-05 - dense_4_loss_3: 7.7419e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6904e-05 - dense_4_loss_6: 8.6816e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6900e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 941/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0140 - dense_4_loss_1: 2.4310e-04 - dense_4_loss_2: 9.5765e-05 - dense_4_loss_3: 7.7106e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7050e-05 - dense_4_loss_6: 8.5435e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6861e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 942/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0140 - dense_4_loss_1: 2.4401e-04 - dense_4_loss_2: 9.5487e-05 - dense_4_loss_3: 7.6825e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6889e-05 - dense_4_loss_6: 8.4989e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.7077e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 943/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0140 - dense_4_loss_1: 2.4487e-04 - dense_4_loss_2: 9.5316e-05 - dense_4_loss_3: 7.7336e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6917e-05 - dense_4_loss_6: 8.6396e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6860e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 944/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0140 - dense_4_loss_1: 2.4348e-04 - dense_4_loss_2: 9.4944e-05 - dense_4_loss_3: 7.6998e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6820e-05 - dense_4_loss_6: 8.5922e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6321e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 945/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0139 - dense_4_loss_1: 2.4228e-04 - dense_4_loss_2: 9.5577e-05 - dense_4_loss_3: 7.6752e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6291e-05 - dense_4_loss_6: 8.5191e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6674e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0028 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 946/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0140 - dense_4_loss_1: 2.4105e-04 - dense_4_loss_2: 9.4760e-05 - dense_4_loss_3: 7.6574e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7011e-05 - dense_4_loss_6: 8.7599e-04 - dense_4_loss_7: 0.0058 - dense_4_loss_8: 2.6346e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 947/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0139 - dense_4_loss_1: 2.4398e-04 - dense_4_loss_2: 9.4420e-05 - dense_4_loss_3: 7.6724e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.7064e-05 - dense_4_loss_6: 8.4858e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6901e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 948/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0139 - dense_4_loss_1: 2.3905e-04 - dense_4_loss_2: 9.4675e-05 - dense_4_loss_3: 7.6231e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5481e-05 - dense_4_loss_6: 8.5289e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6721e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 949/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0138 - dense_4_loss_1: 2.4130e-04 - dense_4_loss_2: 9.4682e-05 - dense_4_loss_3: 7.6228e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6180e-05 - dense_4_loss_6: 8.4243e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6383e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 950/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0138 - dense_4_loss_1: 2.4142e-04 - dense_4_loss_2: 9.4231e-05 - dense_4_loss_3: 7.6399e-04 - dense_4_loss_4: 0.0020 - dense_4_loss_5: 1.6947e-05 - dense_4_loss_6: 8.4229e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6595e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 951/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0138 - dense_4_loss_1: 2.4069e-04 - dense_4_loss_2: 9.4504e-05 - dense_4_loss_3: 7.5975e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7011e-05 - dense_4_loss_6: 8.3812e-04 - dense_4_loss_7: 0.0057 - dense_4_loss_8: 2.6375e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 952/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0138 - dense_4_loss_1: 2.3876e-04 - dense_4_loss_2: 9.3609e-05 - dense_4_loss_3: 7.6137e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6549e-05 - dense_4_loss_6: 8.4487e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.5908e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 953/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0138 - dense_4_loss_1: 2.3995e-04 - dense_4_loss_2: 9.4649e-05 - dense_4_loss_3: 7.6211e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6795e-05 - dense_4_loss_6: 8.5672e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6683e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 954/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0137 - dense_4_loss_1: 2.4059e-04 - dense_4_loss_2: 9.3223e-05 - dense_4_loss_3: 7.5694e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6590e-05 - dense_4_loss_6: 8.4948e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6505e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 955/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0137 - dense_4_loss_1: 2.3885e-04 - dense_4_loss_2: 9.4034e-05 - dense_4_loss_3: 7.5649e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6575e-05 - dense_4_loss_6: 8.5088e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.5583e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 956/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0137 - dense_4_loss_1: 2.3939e-04 - dense_4_loss_2: 9.4103e-05 - dense_4_loss_3: 7.5418e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7604e-05 - dense_4_loss_6: 8.2722e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.7379e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 957/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0137 - dense_4_loss_1: 2.3912e-04 - dense_4_loss_2: 9.3141e-05 - dense_4_loss_3: 7.5582e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6657e-05 - dense_4_loss_6: 8.3786e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.5764e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 958/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0137 - dense_4_loss_1: 2.3685e-04 - dense_4_loss_2: 9.3029e-05 - dense_4_loss_3: 7.5321e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6383e-05 - dense_4_loss_6: 8.4336e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6056e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 959/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0136 - dense_4_loss_1: 2.3898e-04 - dense_4_loss_2: 9.3147e-05 - dense_4_loss_3: 7.5487e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6807e-05 - dense_4_loss_6: 8.2915e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6142e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 960/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0136 - dense_4_loss_1: 2.3674e-04 - dense_4_loss_2: 9.3220e-05 - dense_4_loss_3: 7.5041e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6215e-05 - dense_4_loss_6: 8.3117e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6060e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 961/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0135 - dense_4_loss_1: 2.3613e-04 - dense_4_loss_2: 9.3053e-05 - dense_4_loss_3: 7.5088e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6423e-05 - dense_4_loss_6: 8.2139e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.5821e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 962/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0135 - dense_4_loss_1: 2.3746e-04 - dense_4_loss_2: 9.2878e-05 - dense_4_loss_3: 7.4938e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6544e-05 - dense_4_loss_6: 8.3943e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.6433e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0027 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 963/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0135 - dense_4_loss_1: 2.3502e-04 - dense_4_loss_2: 9.2403e-05 - dense_4_loss_3: 7.4687e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7157e-05 - dense_4_loss_6: 8.3120e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.6568e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 964/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0135 - dense_4_loss_1: 2.3460e-04 - dense_4_loss_2: 9.3288e-05 - dense_4_loss_3: 7.4605e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7364e-05 - dense_4_loss_6: 8.1387e-04 - dense_4_loss_7: 0.0056 - dense_4_loss_8: 2.6191e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 965/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0134 - dense_4_loss_1: 2.3450e-04 - dense_4_loss_2: 9.2499e-05 - dense_4_loss_3: 7.4666e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7024e-05 - dense_4_loss_6: 8.2159e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.5917e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 966/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0135 - dense_4_loss_1: 2.3446e-04 - dense_4_loss_2: 9.2144e-05 - dense_4_loss_3: 7.4501e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6428e-05 - dense_4_loss_6: 8.1729e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.6184e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 967/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0134 - dense_4_loss_1: 2.3201e-04 - dense_4_loss_2: 9.2310e-05 - dense_4_loss_3: 7.4583e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6386e-05 - dense_4_loss_6: 8.3217e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.6323e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 968/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0134 - dense_4_loss_1: 2.3471e-04 - dense_4_loss_2: 9.1822e-05 - dense_4_loss_3: 7.4250e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6097e-05 - dense_4_loss_6: 8.2427e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.5870e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 969/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0133 - dense_4_loss_1: 2.3428e-04 - dense_4_loss_2: 9.2023e-05 - dense_4_loss_3: 7.4351e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5844e-05 - dense_4_loss_6: 8.1049e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.5743e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 970/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0134 - dense_4_loss_1: 2.3227e-04 - dense_4_loss_2: 9.1883e-05 - dense_4_loss_3: 7.3878e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7390e-05 - dense_4_loss_6: 8.1787e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.6091e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 971/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0133 - dense_4_loss_1: 2.3349e-04 - dense_4_loss_2: 9.1934e-05 - dense_4_loss_3: 7.4249e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6280e-05 - dense_4_loss_6: 8.1114e-04 - dense_4_loss_7: 0.0055 - dense_4_loss_8: 2.5501e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 972/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0133 - dense_4_loss_1: 2.3057e-04 - dense_4_loss_2: 9.1625e-05 - dense_4_loss_3: 7.3640e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5934e-05 - dense_4_loss_6: 8.2446e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.6318e-05 - dense_4_loss_9: 0.0015 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 973/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0133 - dense_4_loss_1: 2.3220e-04 - dense_4_loss_2: 9.1725e-05 - dense_4_loss_3: 7.3869e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6051e-05 - dense_4_loss_6: 8.1464e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5971e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 974/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0132 - dense_4_loss_1: 2.3350e-04 - dense_4_loss_2: 9.1202e-05 - dense_4_loss_3: 7.3790e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6355e-05 - dense_4_loss_6: 8.1171e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5410e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 975/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0132 - dense_4_loss_1: 2.3080e-04 - dense_4_loss_2: 9.2503e-05 - dense_4_loss_3: 7.3466e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5862e-05 - dense_4_loss_6: 8.1507e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5285e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 976/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0132 - dense_4_loss_1: 2.2966e-04 - dense_4_loss_2: 9.0945e-05 - dense_4_loss_3: 7.3584e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6409e-05 - dense_4_loss_6: 7.9553e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.6342e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 977/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0132 - dense_4_loss_1: 2.3068e-04 - dense_4_loss_2: 9.1393e-05 - dense_4_loss_3: 7.3184e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7053e-05 - dense_4_loss_6: 8.0431e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5370e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 978/1000\n",
      "10000/10000 [==============================] - 26s - loss: 0.0132 - dense_4_loss_1: 2.3113e-04 - dense_4_loss_2: 9.1374e-05 - dense_4_loss_3: 7.3209e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6337e-05 - dense_4_loss_6: 8.0018e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5696e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 979/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0131 - dense_4_loss_1: 2.3003e-04 - dense_4_loss_2: 9.0608e-05 - dense_4_loss_3: 7.3104e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6178e-05 - dense_4_loss_6: 7.9880e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5754e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 980/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0131 - dense_4_loss_1: 2.2957e-04 - dense_4_loss_2: 9.0462e-05 - dense_4_loss_3: 7.2952e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6715e-05 - dense_4_loss_6: 7.9153e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.5384e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 981/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0131 - dense_4_loss_1: 2.2788e-04 - dense_4_loss_2: 9.0483e-05 - dense_4_loss_3: 7.2854e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6078e-05 - dense_4_loss_6: 8.1322e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5621e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 982/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0131 - dense_4_loss_1: 2.2802e-04 - dense_4_loss_2: 9.0651e-05 - dense_4_loss_3: 7.2899e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6080e-05 - dense_4_loss_6: 7.9490e-04 - dense_4_loss_7: 0.0054 - dense_4_loss_8: 2.4912e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 983/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0130 - dense_4_loss_1: 2.2654e-04 - dense_4_loss_2: 9.0110e-05 - dense_4_loss_3: 7.2600e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.6139e-05 - dense_4_loss_6: 7.9968e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5439e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 984/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0130 - dense_4_loss_1: 2.2657e-04 - dense_4_loss_2: 9.0155e-05 - dense_4_loss_3: 7.2797e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5683e-05 - dense_4_loss_6: 7.8788e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5265e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 985/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0130 - dense_4_loss_1: 2.2845e-04 - dense_4_loss_2: 8.9621e-05 - dense_4_loss_3: 7.2445e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.7314e-05 - dense_4_loss_6: 8.0748e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5271e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0026 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 986/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0130 - dense_4_loss_1: 2.2837e-04 - dense_4_loss_2: 8.9968e-05 - dense_4_loss_3: 7.2740e-04 - dense_4_loss_4: 0.0019 - dense_4_loss_5: 1.5793e-05 - dense_4_loss_6: 7.7550e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5525e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 987/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2523e-04 - dense_4_loss_2: 9.0382e-05 - dense_4_loss_3: 7.2193e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5883e-05 - dense_4_loss_6: 8.0397e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5471e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 988/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2559e-04 - dense_4_loss_2: 9.0129e-05 - dense_4_loss_3: 7.2323e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6209e-05 - dense_4_loss_6: 7.9047e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5243e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 989/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2821e-04 - dense_4_loss_2: 8.9625e-05 - dense_4_loss_3: 7.2083e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5869e-05 - dense_4_loss_6: 8.0167e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.6015e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 990/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2498e-04 - dense_4_loss_2: 9.0083e-05 - dense_4_loss_3: 7.1933e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5295e-05 - dense_4_loss_6: 7.7732e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5675e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 991/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2425e-04 - dense_4_loss_2: 8.9479e-05 - dense_4_loss_3: 7.1845e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6438e-05 - dense_4_loss_6: 7.8180e-04 - dense_4_loss_7: 0.0053 - dense_4_loss_8: 2.5048e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 992/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0129 - dense_4_loss_1: 2.2566e-04 - dense_4_loss_2: 9.0395e-05 - dense_4_loss_3: 7.1864e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6249e-05 - dense_4_loss_6: 7.9497e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5292e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 993/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0128 - dense_4_loss_1: 2.2346e-04 - dense_4_loss_2: 8.9163e-05 - dense_4_loss_3: 7.1519e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6173e-05 - dense_4_loss_6: 7.9029e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5092e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 994/1000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10000/10000 [==============================] - 25s - loss: 0.0128 - dense_4_loss_1: 2.2570e-04 - dense_4_loss_2: 8.9358e-05 - dense_4_loss_3: 7.2016e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5815e-05 - dense_4_loss_6: 7.8907e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5514e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 995/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0128 - dense_4_loss_1: 2.2310e-04 - dense_4_loss_2: 8.9388e-05 - dense_4_loss_3: 7.1508e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5342e-05 - dense_4_loss_6: 7.7109e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5769e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 996/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0127 - dense_4_loss_1: 2.2344e-04 - dense_4_loss_2: 8.9535e-05 - dense_4_loss_3: 7.1075e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5900e-05 - dense_4_loss_6: 7.8052e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5064e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 997/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0127 - dense_4_loss_1: 2.2398e-04 - dense_4_loss_2: 8.9270e-05 - dense_4_loss_3: 7.1569e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6227e-05 - dense_4_loss_6: 7.6655e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5672e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 998/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0127 - dense_4_loss_1: 2.2218e-04 - dense_4_loss_2: 8.8330e-05 - dense_4_loss_3: 7.1033e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.7094e-05 - dense_4_loss_6: 7.9214e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5214e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 999/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0127 - dense_4_loss_1: 2.2227e-04 - dense_4_loss_2: 8.9009e-05 - dense_4_loss_3: 7.1250e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.6301e-05 - dense_4_loss_6: 7.7020e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.4823e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n",
      "Epoch 1000/1000\n",
      "10000/10000 [==============================] - 25s - loss: 0.0127 - dense_4_loss_1: 2.2170e-04 - dense_4_loss_2: 8.9087e-05 - dense_4_loss_3: 7.0937e-04 - dense_4_loss_4: 0.0018 - dense_4_loss_5: 1.5240e-05 - dense_4_loss_6: 7.7365e-04 - dense_4_loss_7: 0.0052 - dense_4_loss_8: 2.5431e-05 - dense_4_loss_9: 0.0014 - dense_4_loss_10: 0.0025 - dense_4_acc_1: 1.0000 - dense_4_acc_2: 1.0000 - dense_4_acc_3: 1.0000 - dense_4_acc_4: 1.0000 - dense_4_acc_5: 1.0000 - dense_4_acc_6: 1.0000 - dense_4_acc_7: 0.9999 - dense_4_acc_8: 1.0000 - dense_4_acc_9: 1.0000 - dense_4_acc_10: 1.0000    \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x112580dd8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit([Xoh, s0, c0], outputs, epochs=1000, batch_size=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.load_weights('models/model.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can now see the results on new examples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "source: 3 May 1979\n",
      "output: 1979-05-03\n",
      "source: 5 April 09\n",
      "output: 2009-04-07\n",
      "source: 21th of August 2016\n",
      "output: 2016-08-22\n",
      "source: Tue 10 Jul 2007\n",
      "output: 2007-07-10\n",
      "source: Saturday May 9 2018\n",
      "output: 2018-05-09\n",
      "source: March 3 2001\n",
      "output: 2001-03-03\n",
      "source: March 3rd 2001\n",
      "output: 2001-03-03\n",
      "source: 1 March 2001\n",
      "output: 2001-03-01\n"
     ]
    }
   ],
   "source": [
    "EXAMPLES = ['3 May 1979', '5 April 09', '21th of August 2016', 'Tue 10 Jul 2007', 'Saturday May 9 2018', 'March 3 2001', 'March 3rd 2001', '1 March 2001']\n",
    "for example in EXAMPLES:\n",
    "    \n",
    "    source = string_to_int(example, Tx, human_vocab)\n",
    "    source = np.array(list(map(lambda x: to_categorical(x, num_classes=len(human_vocab)), source))).swapaxes(0,1)\n",
    "    prediction = model.predict([source, s0, c0])\n",
    "    prediction = np.argmax(prediction, axis = -1)\n",
    "    output = [inv_machine_vocab[int(i)] for i in prediction]\n",
    "    \n",
    "    print(\"source:\", example)\n",
    "    print(\"output:\", ''.join(output))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also change these examples to test with your own examples. The next part will give you a better sense on what the attention mechanism is doing--i.e., what part of the input the network is paying attention to when generating a particular output character. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3 - Visualizing Attention\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11702ffd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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aRuNZtpn5o8z8Xv3yDOCfM/Mk4ArgZDYuN2nLNtWb9r0+gIOotmJ273H4FwHX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\nrCVJKpzJWpKkwpmsJUkq3P8HlGnNmOZD6BMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117035358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "attention_map = plot_attention_map(model, human_vocab, inv_machine_vocab, \"Tuesday 09 Oct 1993\", num = 7, n_s = 64)"
   ]
  }
 ],
 "metadata": {
  "coursera": {
   "course_slug": "nlp-sequence-models",
   "graded_item_id": "n16CQ",
   "launcher_item_id": "npjGi"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}