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107 lines
2.7 KiB
YAML
107 lines
2.7 KiB
YAML
backend: tensorflow
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class_name: Sequential
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config:
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- class_name: Conv2D
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config:
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activation: relu
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activity_regularizer: null
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batch_input_shape: !!python/tuple [null, 64, 64, 3]
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bias_constraint: null
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bias_initializer:
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class_name: Zeros
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config: {}
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bias_regularizer: null
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data_format: channels_last
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dilation_rate: &id001 !!python/tuple [1, 1]
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dtype: float32
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filters: 32
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kernel_constraint: null
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kernel_initializer:
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class_name: VarianceScaling
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config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
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kernel_regularizer: null
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kernel_size: &id003 !!python/tuple [3, 3]
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name: conv2d_1
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padding: valid
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strides: *id001
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trainable: true
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use_bias: true
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- class_name: MaxPooling2D
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config:
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data_format: channels_last
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name: max_pooling2d_1
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padding: valid
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pool_size: &id002 !!python/tuple [2, 2]
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strides: *id002
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trainable: true
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- class_name: Conv2D
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config:
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activation: relu
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activity_regularizer: null
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bias_constraint: null
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bias_initializer:
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class_name: Zeros
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config: {}
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bias_regularizer: null
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data_format: channels_last
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dilation_rate: *id001
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filters: 32
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kernel_constraint: null
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kernel_initializer:
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class_name: VarianceScaling
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config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
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kernel_regularizer: null
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kernel_size: *id003
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name: conv2d_2
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padding: valid
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strides: *id001
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trainable: true
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use_bias: true
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- class_name: MaxPooling2D
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config:
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data_format: channels_last
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name: max_pooling2d_2
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padding: valid
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pool_size: *id002
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strides: *id002
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trainable: true
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- class_name: Flatten
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config: {name: flatten_1, trainable: true}
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- class_name: Dense
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config:
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activation: relu
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activity_regularizer: null
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bias_constraint: null
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bias_initializer:
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class_name: Zeros
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config: {}
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bias_regularizer: null
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kernel_constraint: null
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kernel_initializer:
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class_name: VarianceScaling
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config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
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kernel_regularizer: null
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name: dense_1
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trainable: true
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units: 128
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use_bias: true
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- class_name: Dense
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config:
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activation: sigmoid
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activity_regularizer: null
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bias_constraint: null
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bias_initializer:
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class_name: Zeros
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config: {}
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bias_regularizer: null
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kernel_constraint: null
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kernel_initializer:
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class_name: VarianceScaling
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config: {distribution: uniform, mode: fan_avg, scale: 1.0, seed: null}
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kernel_regularizer: null
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name: dense_2
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trainable: true
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units: 1
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use_bias: true
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keras_version: 2.1.3
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