MachineLearningBasic/lenet.yaml at master · Harshini-2007/MachineLearningBasic · GitHub

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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
      - 28
      - 28
      - 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: 6
      kernel_constraint: null
      kernel_initializer:
        class_name: GlorotUniform
        config:
          seed: null
      kernel_regularizer: null
      kernel_size: !!python/tuple
      - 5
      - 5
      name: conv2d_2
      padding: same
      strides: *id001
      trainable: true
      use_bias: true
  - class_name: Activation
    config:
      activation: relu
      dtype: float32
      name: activation_5
      trainable: true
  - class_name: AveragePooling2D
    config:
      data_format: channels_last
      dtype: float32
      name: average_pooling2d_2
      padding: valid
      pool_size: !!python/tuple
      - 2
      - 2
      strides: !!python/tuple
      - 1
      - 1
      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: *id001
      dtype: float32
      filters: 16
      kernel_constraint: null
      kernel_initializer:
        class_name: GlorotUniform
        config:
          seed: null
      kernel_regularizer: null
      kernel_size: !!python/tuple
      - 5
      - 5
      name: conv2d_3
      padding: valid
      strides: *id001
      trainable: true
      use_bias: true
  - class_name: Activation
    config:
      activation: relu
      dtype: float32
      name: activation_6
      trainable: true
  - class_name: AveragePooling2D
    config:
      data_format: channels_last
      dtype: float32
      name: average_pooling2d_3
      padding: valid
      pool_size: &id002 !!python/tuple
      - 2
      - 2
      strides: *id002
      trainable: true
  - class_name: Flatten
    config:
      data_format: channels_last
      dtype: float32
      name: flatten_1
      trainable: true
  - class_name: Dense
    config:
      activation: linear
      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: dense_3
      trainable: true
      units: 120
      use_bias: true
  - class_name: Activation
    config:
      activation: relu
      dtype: float32
      name: activation_7
      trainable: true
  - class_name: Dense
    config:
      activation: linear
      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: dense_4
      trainable: true
      units: 84
      use_bias: true
  - class_name: Activation
    config:
      activation: relu
      dtype: float32
      name: activation_8
      trainable: true
  - class_name: Dense
    config:
      activation: linear
      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: dense_5
      trainable: true
      units: 10
      use_bias: true
  - class_name: Activation
    config:
      activation: softmax
      dtype: float32
      name: activation_9
      trainable: true
  name: sequential_1
keras_version: 2.2.4-tf