Created
July 24, 2019 03:06
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ResNet-50 Keras model converted to Yaml format
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| backend: tensorflow | |
| class_name: Model | |
| config: | |
| input_layers: | |
| - - input_1 | |
| - 0 | |
| - 0 | |
| layers: | |
| - class_name: InputLayer | |
| config: | |
| batch_input_shape: !!python/tuple | |
| - null | |
| - 224 | |
| - 224 | |
| - 3 | |
| dtype: float32 | |
| name: input_1 | |
| sparse: false | |
| inbound_nodes: [] | |
| name: input_1 | |
| - class_name: ZeroPadding2D | |
| config: | |
| data_format: channels_last | |
| dtype: float32 | |
| name: conv1_pad | |
| padding: !!python/tuple | |
| - !!python/tuple | |
| - 3 | |
| - 3 | |
| - !!python/tuple | |
| - 3 | |
| - 3 | |
| trainable: true | |
| inbound_nodes: | |
| - - - input_1 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: conv1_pad | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 64 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 7 | |
| - 7 | |
| name: conv1 | |
| padding: valid | |
| strides: !!python/tuple | |
| - 2 | |
| - 2 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - conv1_pad | |
| - 0 | |
| - 0 | |
| - {} | |
| name: conv1 | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn_conv1 | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - conv1 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn_conv1 | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn_conv1 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation | |
| - class_name: ZeroPadding2D | |
| config: | |
| data_format: channels_last | |
| dtype: float32 | |
| name: pool1_pad | |
| padding: !!python/tuple | |
| - !!python/tuple | |
| - 1 | |
| - 1 | |
| - !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| inbound_nodes: | |
| - - - activation | |
| - 0 | |
| - 0 | |
| - {} | |
| name: pool1_pad | |
| - class_name: MaxPooling2D | |
| config: | |
| data_format: channels_last | |
| dtype: float32 | |
| name: max_pooling2d | |
| padding: valid | |
| pool_size: !!python/tuple | |
| - 3 | |
| - 3 | |
| strides: !!python/tuple | |
| - 2 | |
| - 2 | |
| trainable: true | |
| inbound_nodes: | |
| - - - pool1_pad | |
| - 0 | |
| - 0 | |
| - {} | |
| name: max_pooling2d | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 64 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 1 | |
| - 1 | |
| name: res2a_branch2a | |
| padding: valid | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - max_pooling2d | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2a_branch2a | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2a_branch2a | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2a_branch2a | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2a_branch2a | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation_1 | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn2a_branch2a | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation_1 | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 64 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 3 | |
| - 3 | |
| name: res2a_branch2b | |
| padding: same | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - activation_1 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2a_branch2b | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2a_branch2b | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2a_branch2b | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2a_branch2b | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation_2 | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn2a_branch2b | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation_2 | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 256 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 1 | |
| - 1 | |
| name: res2a_branch2c | |
| padding: valid | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - activation_2 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2a_branch2c | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 256 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 1 | |
| - 1 | |
| name: res2a_branch1 | |
| padding: valid | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - max_pooling2d | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2a_branch1 | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2a_branch2c | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2a_branch2c | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2a_branch2c | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2a_branch1 | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2a_branch1 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2a_branch1 | |
| - class_name: Add | |
| config: | |
| dtype: float32 | |
| name: add | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn2a_branch2c | |
| - 0 | |
| - 0 | |
| - &id001 {} | |
| - - bn2a_branch1 | |
| - 0 | |
| - 0 | |
| - *id001 | |
| name: add | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation_3 | |
| trainable: true | |
| inbound_nodes: | |
| - - - add | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation_3 | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 64 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 1 | |
| - 1 | |
| name: res2b_branch2a | |
| padding: valid | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - activation_3 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2b_branch2a | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2b_branch2a | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2b_branch2a | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2b_branch2a | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation_4 | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn2b_branch2a | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation_4 | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 64 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 3 | |
| - 3 | |
| name: res2b_branch2b | |
| padding: same | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - activation_4 | |
| - 0 | |
| - 0 | |
| - {} | |
| name: res2b_branch2b | |
| - class_name: BatchNormalization | |
| config: | |
| axis: !!python/object/new:tensorflow.python.training.tracking.data_structures._ListWrapper | |
| listitems: | |
| - 3 | |
| state: | |
| _external_modification: false | |
| _last_wrapped_list_snapshot: | |
| - 3 | |
| _non_append_mutation: false | |
| _self_extra_variables: [] | |
| _self_trainable: true | |
| _storage: | |
| - 3 | |
| beta_constraint: null | |
| beta_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| beta_regularizer: null | |
| center: true | |
| dtype: float32 | |
| epsilon: 0.001 | |
| gamma_constraint: null | |
| gamma_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| gamma_regularizer: null | |
| momentum: 0.99 | |
| moving_mean_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| moving_variance_initializer: | |
| class_name: Ones | |
| config: | |
| dtype: float32 | |
| name: bn2b_branch2b | |
| scale: true | |
| trainable: true | |
| inbound_nodes: | |
| - - - res2b_branch2b | |
| - 0 | |
| - 0 | |
| - {} | |
| name: bn2b_branch2b | |
| - class_name: Activation | |
| config: | |
| activation: relu | |
| dtype: float32 | |
| name: activation_5 | |
| trainable: true | |
| inbound_nodes: | |
| - - - bn2b_branch2b | |
| - 0 | |
| - 0 | |
| - {} | |
| name: activation_5 | |
| - class_name: Conv2D | |
| config: | |
| activation: linear | |
| activity_regularizer: null | |
| bias_constraint: null | |
| bias_initializer: | |
| class_name: Zeros | |
| config: | |
| dtype: float32 | |
| bias_regularizer: null | |
| data_format: channels_last | |
| dilation_rate: !!python/tuple | |
| - 1 | |
| - 1 | |
| dtype: float32 | |
| filters: 256 | |
| kernel_constraint: null | |
| kernel_initializer: | |
| class_name: VarianceScaling | |
| config: | |
| distribution: truncated_normal | |
| dtype: float32 | |
| mode: fan_in | |
| scale: 2.0 | |
| seed: null | |
| kernel_regularizer: null | |
| kernel_size: !!python/tuple | |
| - 1 | |
| - 1 | |
| name: res2b_branch2c | |
| padding: valid | |
| strides: !!python/tuple | |
| - 1 | |
| - 1 | |
| trainable: true | |
| use_bias: true | |
| inbound_nodes: | |
| - - - activation_5 | |
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| scale: true | |
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| name: bn5c_branch2c | |
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| name: add_15 | |
| trainable: true | |
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| name: add_15 | |
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| name: activation_48 | |
| trainable: true | |
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| name: activation_48 | |
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| dtype: float32 | |
| name: avg_pool | |
| trainable: true | |
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| - - - activation_48 | |
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| name: avg_pool | |
| - class_name: Dense | |
| config: | |
| activation: softmax | |
| activity_regularizer: null | |
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| config: | |
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| kernel_initializer: | |
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| config: | |
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| seed: null | |
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| name: fc1000 | |
| trainable: true | |
| units: 1000 | |
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| inbound_nodes: | |
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| name: fc1000 | |
| name: resnet50 | |
| output_layers: | |
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| - 0 | |
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| keras_version: 2.2.4-tf |
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