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96 lines
1.3 KiB
Plaintext
96 lines
1.3 KiB
Plaintext
input: "data"
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input_dim: 1
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input_dim: 3
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input_dim: 16
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input_dim: 66
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layer {
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name: "conv1"
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type: "Convolution"
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bottom: "data"
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top: "conv1"
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convolution_param {
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num_output: 10
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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: "relu1"
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type: "ReLU"
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bottom: "conv1"
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top: "conv1"
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}
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layer {
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name: "max_pooling2d_3"
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type: "Pooling"
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bottom: "conv1"
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top: "max_pooling2d_3"
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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: "conv2"
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type: "Convolution"
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bottom: "max_pooling2d_3"
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top: "conv2"
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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: "relu2"
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type: "ReLU"
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bottom: "conv2"
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top: "conv2"
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}
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layer {
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name: "conv3"
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type: "Convolution"
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bottom: "conv2"
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top: "conv3"
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convolution_param {
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num_output: 32
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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: "relu3"
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type: "ReLU"
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bottom: "conv3"
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top: "conv3"
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}
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layer {
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name: "flatten_2"
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type: "Flatten"
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bottom: "conv3"
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top: "flatten_2"
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}
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layer {
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name: "dense"
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type: "InnerProduct"
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bottom: "flatten_2"
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top: "dense"
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inner_product_param {
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num_output: 2
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}
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}
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layer {
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name: "relu4"
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type: "ReLU"
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bottom: "dense"
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top: "dense"
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}
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