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114 lines
1.7 KiB
Plaintext
114 lines
1.7 KiB
Plaintext
input: "data"
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input_dim: 1
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input_dim: 1
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input_dim: 22
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input_dim: 22
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layer {
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name: "conv2d_12"
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type: "Convolution"
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bottom: "data"
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top: "conv2d_12"
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convolution_param {
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num_output: 16
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bias_term: true
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pad: 0
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "activation_18"
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type: "ReLU"
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bottom: "conv2d_12"
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top: "activation_18"
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}
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layer {
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name: "max_pooling2d_10"
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type: "Pooling"
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bottom: "activation_18"
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top: "max_pooling2d_10"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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pad: 0
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}
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}
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layer {
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name: "conv2d_13"
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type: "Convolution"
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bottom: "max_pooling2d_10"
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top: "conv2d_13"
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convolution_param {
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num_output: 16
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bias_term: true
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pad: 0
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kernel_size: 3
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stride: 1
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}
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}
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layer {
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name: "activation_19"
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type: "ReLU"
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bottom: "conv2d_13"
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top: "activation_19"
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}
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layer {
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name: "max_pooling2d_11"
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type: "Pooling"
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bottom: "activation_19"
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top: "max_pooling2d_11"
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pooling_param {
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pool: MAX
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kernel_size: 2
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stride: 2
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pad: 0
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}
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}
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layer {
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name: "flatten_6"
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type: "Flatten"
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bottom: "max_pooling2d_11"
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top: "flatten_6"
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}
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layer {
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name: "dense_9"
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type: "InnerProduct"
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bottom: "flatten_6"
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top: "dense_9"
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inner_product_param {
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num_output: 256
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}
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}
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layer {
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name: "dropout_9"
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type: "Dropout"
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bottom: "dense_9"
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top: "dropout_9"
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dropout_param {
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dropout_ratio: 0.5
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}
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}
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layer {
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name: "activation_20"
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type: "ReLU"
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bottom: "dropout_9"
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top: "activation_20"
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}
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layer {
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name: "dense_10"
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type: "InnerProduct"
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bottom: "activation_20"
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top: "dense_10"
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inner_product_param {
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num_output: 3
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}
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}
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layer {
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name: "prob"
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type: "Softmax"
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bottom: "dense_10"
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top: "prob"
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} |