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model.yml
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model.yml
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backend: tensorflow
class_name: Sequential
config:
layers:
- class_name: Reshape
config:
batch_input_shape: !!python/tuple [null, 4800]
dtype: float32
name: reshape_1
target_shape: !!python/tuple [40, 40, 3]
trainable: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: &id001 !!python/tuple [1, 1]
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: &id002 !!python/tuple [3, 3]
name: conv2d_1
padding: valid
strides: &id003 !!python/tuple [1, 1]
trainable: true
use_bias: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
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: *id002
name: conv2d_2
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_1
padding: valid
pool_size: &id004 !!python/tuple [2, 2]
strides: *id004
trainable: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
filters: 128
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
kernel_regularizer: null
kernel_size: *id002
name: conv2d_3
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: Conv2D
config:
activation: relu
activity_regularizer: null
bias_constraint: null
bias_initializer:
class_name: Zeros
config: {}
bias_regularizer: null
data_format: channels_last
dilation_rate: *id001
filters: 256
kernel_constraint: null
kernel_initializer:
class_name: VarianceScaling
config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
kernel_regularizer: null
kernel_size: *id002
name: conv2d_4
padding: valid
strides: *id003
trainable: true
use_bias: true
- class_name: MaxPooling2D
config:
data_format: channels_last
name: max_pooling2d_2
padding: valid
pool_size: *id004
strides: *id004
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: 512
use_bias: true
- class_name: Dropout
config: {name: dropout_1, noise_shape: null, rate: 0.5, 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
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: 2
use_bias: true
name: sequential_1
keras_version: 2.2.4