Created
March 30, 2018 16:20
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MNIST CNN
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| name: "Convolutional Neural Network" | |
| input: "Images (1000x1x28x28)" | |
| input_dim: 1000 | |
| input_dim: 3 | |
| input_dim: 28 | |
| input_dim: 28 | |
| layer { | |
| bottom: "Images (1000x1x28x28)" | |
| top: "Conv2d (1000x64x28x28)" | |
| name: "Conv2d (1000x64x28x28)" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 5 | |
| stride: 1 | |
| pad: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x64x28x28)" | |
| top: "Conv2d (1000x64x28x28)" | |
| name: "BatchNorm 1" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x64x28x28)" | |
| top: "Conv2d (1000x64x28x28)" | |
| name: "ReLU 1" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x64x28x28)" | |
| top: "Conv2d (1000x64x28x28)" | |
| name: "MaxPool 1 (1000x64x14x14)" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x64x28x28)" | |
| top: "Conv2d (1000x128x14x14)" | |
| name: "Conv2d (1000x128x14x14)" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x128x14x14)" | |
| top: "Conv2d (1000x128x14x14)" | |
| name: "BatchNorm 2" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| use_global_stats: true | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x128x14x14)" | |
| top: "Conv2d (1000x128x14x14)" | |
| name: "ReLU 2" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x128x14x14)" | |
| top: "Conv2d (1000x128x14x14)" | |
| name: "MaxPool 2 (1000x128x7x7)" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "Conv2d (1000x128x14x14)" | |
| top: "Flatten (1000x6272)" | |
| name: "Flatten (1000x6272)" | |
| type: "InnerProduct" | |
| inner_product_param { | |
| num_output: 6272 | |
| } | |
| } | |
| layer { | |
| bottom: "Flatten (1000x6272)" | |
| top: "Linear (1000x10)" | |
| name: "Linear (1000x10)" | |
| type: "InnerProduct" | |
| inner_product_param { | |
| num_output: 10 | |
| } | |
| } | |
| layer { | |
| bottom: "Linear (1000x10)" | |
| top: "Softmax" | |
| name: "Softmax" | |
| type: "Softmax" | |
| } |
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