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model.yaml
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backend: tensorflow
class_name: Sequential
config:
layers:
- class_name: Conv2D
config:
activation: linear
activity_regularizer: null
batch_input_shape: !!python/tuple
- null
- 128
- 128
- 3
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: &id002 !!python/tuple
- 1
- 1
dtype: float32
filters: 32
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_1
padding: valid
strides: &id003 !!python/tuple
- 1
- 1
trainable: true
use_bias: true
- class_name: Activation
config:
activation: relu
name: activation_1
trainable: true
- class_name: BatchNormalization
config:
axis: -1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
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: batch_normalization_1
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_1
padding: valid
pool_size: &id001 !!python/tuple
- 3
- 3
strides: *id001
trainable: true
- class_name: Dropout
config:
name: dropout_1
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Conv2D
config:
activation: linear
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id002
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_2
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: Activation
config:
activation: relu
name: activation_2
trainable: true
- class_name: BatchNormalization
config:
axis: -1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
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: batch_normalization_2
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_2
padding: valid
pool_size: &id004 !!python/tuple
- 2
- 2
strides: *id004
trainable: true
- class_name: Dropout
config:
name: dropout_2
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Conv2D
config:
activation: linear
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id002
filters: 64
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_3
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: Activation
config:
activation: relu
name: activation_3
trainable: true
- class_name: BatchNormalization
config:
axis: -1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
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: batch_normalization_3
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_3
padding: valid
pool_size: &id005 !!python/tuple
- 2
- 2
strides: *id005
trainable: true
- class_name: Dropout
config:
name: dropout_3
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Conv2D
config:
activation: linear
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id002
filters: 96
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
kernel_size: !!python/tuple
- 3
- 3
name: conv2d_4
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: Activation
config:
activation: relu
name: activation_4
trainable: true
- class_name: BatchNormalization
config:
axis: -1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
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: batch_normalization_4
scale: true
trainable: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_4
padding: valid
pool_size: &id006 !!python/tuple
- 2
- 2
strides: *id006
trainable: true
- class_name: Dropout
config:
name: dropout_4
noise_shape: null
rate: 0.5
seed: null
trainable: true
- class_name: Flatten
config:
data_format: channels_last
name: flatten_1
trainable: true
- class_name: Dense
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
name: dense_1
trainable: true
units: 128
use_bias: true
- class_name: BatchNormalization
config:
axis: -1
beta_constraint: null
beta_initializer:
class_name: Zeros
config: {}
beta_regularizer: null
center: true
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: batch_normalization_5
scale: true
trainable: true
- class_name: Dense
config:
activation: softmax
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config:
distribution: uniform
mode: fan_avg
scale: 1.0
seed: null
kernel_regularizer: null
name: dense_2
trainable: true
units: 6
use_bias: true
name: sequential_1
keras_version: 2.2.4