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model.yaml
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model.yaml
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backend: tensorflow
class_name: Sequential
config:
layers:
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
batch_input_shape: !!python/tuple
- null
- 48
- 48
- 1
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: &id001 !!python/tuple
- 1
- 1
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: &id002 !!python/tuple
- 5
- 5
name: conv2d_1
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_1
scale: true
trainable: true
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: *id002
name: conv2d_2
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_2
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: maxpool2d_1
padding: valid
pool_size: &id003 !!python/tuple
- 2
- 2
strides: *id003
trainable: true
- class_name: Dropout
config:
dtype: float32
name: dropout_1
noise_shape: null
rate: 0.4
seed: null
trainable: true
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 128
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: &id004 !!python/tuple
- 3
- 3
name: conv2d_3
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_3
scale: true
trainable: true
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 128
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: *id004
name: conv2d_4
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_4
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: maxpool2d_2
padding: valid
pool_size: *id003
strides: *id003
trainable: true
- class_name: Dropout
config:
dtype: float32
name: dropout_2
noise_shape: null
rate: 0.4
seed: null
trainable: true
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 256
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: *id004
name: conv2d_5
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_5
scale: true
trainable: true
- class_name: Conv2D
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
dtype: float32
filters: 256
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
kernel_size: *id004
name: conv2d_6
padding: same
strides: *id001
trainable: true
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 3
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_6
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
dtype: float32
name: maxpool2d_3
padding: valid
pool_size: *id003
strides: *id003
trainable: true
- class_name: Dropout
config:
dtype: float32
name: dropout_3
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Flatten
config:
data_format: channels_last
dtype: float32
name: flatten
trainable: true
- class_name: Dense
config:
activation: elu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
dtype: float32
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: truncated_normal
mode: fan_in
scale: 2.0
seed: null
kernel_regularizer: null
name: dense_1
trainable: true
units: 128
use_bias: true
- class_name: BatchNormalization
config:
axis: !!python/object/apply:tensorflow.python.training.tracking.data_structures.ListWrapper
- - 1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
dtype: float32
epsilon: 0.001
gamma_constraint: null
gamma_initializer:
class_name: Ones
config: {}
gamma_regularizer: null
momentum: 0.99
moving_mean_initializer:
class_name: Zeros
config: {}
moving_variance_initializer:
class_name: Ones
config: {}
name: batchnorm_7
scale: true
trainable: true
- class_name: Dropout
config:
dtype: float32
name: dropout_4
noise_shape: null
rate: 0.6
seed: null
trainable: true
- class_name: Dense
config:
activation: softmax
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
dtype: float32
kernel_constraint: null
kernel_initializer:
class_name: GlorotUniform
config:
seed: null
kernel_regularizer: null
name: out_layer
trainable: true
units: 3
use_bias: true
name: DCNN
keras_version: 2.2.4-tf