| name: "GoogleNet" |
| input: "data" |
| input_shape { |
| dim: 1 |
| dim: 3 |
| dim: 224 |
| dim: 224 |
| } |
| layer { |
| name: "conv1/7x7_s2" |
| type: "Convolution" |
| bottom: "data" |
| top: "conv1/7x7_s2" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 3 |
| kernel_size: 7 |
| stride: 2 |
| } |
| } |
| layer { |
| name: "conv1/relu_7x7" |
| type: "ReLU" |
| bottom: "conv1/7x7_s2" |
| top: "conv1/7x7_s2" |
| } |
| layer { |
| name: "pool1/3x3_s2" |
| type: "Pooling" |
| bottom: "conv1/7x7_s2" |
| top: "pool1/3x3_s2" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 2 |
| } |
| } |
| layer { |
| name: "pool1/norm1" |
| type: "LRN" |
| bottom: "pool1/3x3_s2" |
| top: "pool1/norm1" |
| lrn_param { |
| local_size: 5 |
| alpha: 0.0001 |
| beta: 0.75 |
| } |
| } |
| layer { |
| name: "conv2/3x3_reduce" |
| type: "Convolution" |
| bottom: "pool1/norm1" |
| top: "conv2/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "conv2/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "conv2/3x3_reduce" |
| top: "conv2/3x3_reduce" |
| } |
| layer { |
| name: "conv2/3x3" |
| type: "Convolution" |
| bottom: "conv2/3x3_reduce" |
| top: "conv2/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 192 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "conv2/relu_3x3" |
| type: "ReLU" |
| bottom: "conv2/3x3" |
| top: "conv2/3x3" |
| } |
| layer { |
| name: "conv2/norm2" |
| type: "LRN" |
| bottom: "conv2/3x3" |
| top: "conv2/norm2" |
| lrn_param { |
| local_size: 5 |
| alpha: 0.0001 |
| beta: 0.75 |
| } |
| } |
| layer { |
| name: "pool2/3x3_s2" |
| type: "Pooling" |
| bottom: "conv2/norm2" |
| top: "pool2/3x3_s2" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 2 |
| } |
| } |
| layer { |
| name: "inception_3a/1x1" |
| type: "Convolution" |
| bottom: "pool2/3x3_s2" |
| top: "inception_3a/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_3a/1x1" |
| top: "inception_3a/1x1" |
| } |
| layer { |
| name: "inception_3a/3x3_reduce" |
| type: "Convolution" |
| bottom: "pool2/3x3_s2" |
| top: "inception_3a/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 96 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_3a/3x3_reduce" |
| top: "inception_3a/3x3_reduce" |
| } |
| layer { |
| name: "inception_3a/3x3" |
| type: "Convolution" |
| bottom: "inception_3a/3x3_reduce" |
| top: "inception_3a/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_3a/3x3" |
| top: "inception_3a/3x3" |
| } |
| layer { |
| name: "inception_3a/5x5_reduce" |
| type: "Convolution" |
| bottom: "pool2/3x3_s2" |
| top: "inception_3a/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 16 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_3a/5x5_reduce" |
| top: "inception_3a/5x5_reduce" |
| } |
| layer { |
| name: "inception_3a/5x5" |
| type: "Convolution" |
| bottom: "inception_3a/5x5_reduce" |
| top: "inception_3a/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_3a/5x5" |
| top: "inception_3a/5x5" |
| } |
| layer { |
| name: "inception_3a/pool" |
| type: "Pooling" |
| bottom: "pool2/3x3_s2" |
| top: "inception_3a/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_3a/pool_proj" |
| type: "Convolution" |
| bottom: "inception_3a/pool" |
| top: "inception_3a/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3a/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_3a/pool_proj" |
| top: "inception_3a/pool_proj" |
| } |
| layer { |
| name: "inception_3a/output" |
| type: "Concat" |
| bottom: "inception_3a/1x1" |
| bottom: "inception_3a/3x3" |
| bottom: "inception_3a/5x5" |
| bottom: "inception_3a/pool_proj" |
| top: "inception_3a/output" |
| } |
| layer { |
| name: "inception_3b/1x1" |
| type: "Convolution" |
| bottom: "inception_3a/output" |
| top: "inception_3b/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_3b/1x1" |
| top: "inception_3b/1x1" |
| } |
| layer { |
| name: "inception_3b/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_3a/output" |
| top: "inception_3b/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_3b/3x3_reduce" |
| top: "inception_3b/3x3_reduce" |
| } |
| layer { |
| name: "inception_3b/3x3" |
| type: "Convolution" |
| bottom: "inception_3b/3x3_reduce" |
| top: "inception_3b/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 192 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_3b/3x3" |
| top: "inception_3b/3x3" |
| } |
| layer { |
| name: "inception_3b/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_3a/output" |
| top: "inception_3b/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_3b/5x5_reduce" |
| top: "inception_3b/5x5_reduce" |
| } |
| layer { |
| name: "inception_3b/5x5" |
| type: "Convolution" |
| bottom: "inception_3b/5x5_reduce" |
| top: "inception_3b/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 96 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_3b/5x5" |
| top: "inception_3b/5x5" |
| } |
| layer { |
| name: "inception_3b/pool" |
| type: "Pooling" |
| bottom: "inception_3a/output" |
| top: "inception_3b/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_3b/pool_proj" |
| type: "Convolution" |
| bottom: "inception_3b/pool" |
| top: "inception_3b/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_3b/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_3b/pool_proj" |
| top: "inception_3b/pool_proj" |
| } |
| layer { |
| name: "inception_3b/output" |
| type: "Concat" |
| bottom: "inception_3b/1x1" |
| bottom: "inception_3b/3x3" |
| bottom: "inception_3b/5x5" |
| bottom: "inception_3b/pool_proj" |
| top: "inception_3b/output" |
| } |
| layer { |
| name: "pool3/3x3_s2" |
| type: "Pooling" |
| bottom: "inception_3b/output" |
| top: "pool3/3x3_s2" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 2 |
| } |
| } |
| layer { |
| name: "inception_4a/1x1" |
| type: "Convolution" |
| bottom: "pool3/3x3_s2" |
| top: "inception_4a/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 192 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_4a/1x1" |
| top: "inception_4a/1x1" |
| } |
| layer { |
| name: "inception_4a/3x3_reduce" |
| type: "Convolution" |
| bottom: "pool3/3x3_s2" |
| top: "inception_4a/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 96 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_4a/3x3_reduce" |
| top: "inception_4a/3x3_reduce" |
| } |
| layer { |
| name: "inception_4a/3x3" |
| type: "Convolution" |
| bottom: "inception_4a/3x3_reduce" |
| top: "inception_4a/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 208 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_4a/3x3" |
| top: "inception_4a/3x3" |
| } |
| layer { |
| name: "inception_4a/5x5_reduce" |
| type: "Convolution" |
| bottom: "pool3/3x3_s2" |
| top: "inception_4a/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 16 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_4a/5x5_reduce" |
| top: "inception_4a/5x5_reduce" |
| } |
| layer { |
| name: "inception_4a/5x5" |
| type: "Convolution" |
| bottom: "inception_4a/5x5_reduce" |
| top: "inception_4a/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 48 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_4a/5x5" |
| top: "inception_4a/5x5" |
| } |
| layer { |
| name: "inception_4a/pool" |
| type: "Pooling" |
| bottom: "pool3/3x3_s2" |
| top: "inception_4a/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_4a/pool_proj" |
| type: "Convolution" |
| bottom: "inception_4a/pool" |
| top: "inception_4a/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4a/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_4a/pool_proj" |
| top: "inception_4a/pool_proj" |
| } |
| layer { |
| name: "inception_4a/output" |
| type: "Concat" |
| bottom: "inception_4a/1x1" |
| bottom: "inception_4a/3x3" |
| bottom: "inception_4a/5x5" |
| bottom: "inception_4a/pool_proj" |
| top: "inception_4a/output" |
| } |
| layer { |
| name: "inception_4b/1x1" |
| type: "Convolution" |
| bottom: "inception_4a/output" |
| top: "inception_4b/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 160 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_4b/1x1" |
| top: "inception_4b/1x1" |
| } |
| layer { |
| name: "inception_4b/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_4a/output" |
| top: "inception_4b/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 112 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_4b/3x3_reduce" |
| top: "inception_4b/3x3_reduce" |
| } |
| layer { |
| name: "inception_4b/3x3" |
| type: "Convolution" |
| bottom: "inception_4b/3x3_reduce" |
| top: "inception_4b/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 224 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_4b/3x3" |
| top: "inception_4b/3x3" |
| } |
| layer { |
| name: "inception_4b/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_4a/output" |
| top: "inception_4b/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 24 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_4b/5x5_reduce" |
| top: "inception_4b/5x5_reduce" |
| } |
| layer { |
| name: "inception_4b/5x5" |
| type: "Convolution" |
| bottom: "inception_4b/5x5_reduce" |
| top: "inception_4b/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_4b/5x5" |
| top: "inception_4b/5x5" |
| } |
| layer { |
| name: "inception_4b/pool" |
| type: "Pooling" |
| bottom: "inception_4a/output" |
| top: "inception_4b/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_4b/pool_proj" |
| type: "Convolution" |
| bottom: "inception_4b/pool" |
| top: "inception_4b/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4b/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_4b/pool_proj" |
| top: "inception_4b/pool_proj" |
| } |
| layer { |
| name: "inception_4b/output" |
| type: "Concat" |
| bottom: "inception_4b/1x1" |
| bottom: "inception_4b/3x3" |
| bottom: "inception_4b/5x5" |
| bottom: "inception_4b/pool_proj" |
| top: "inception_4b/output" |
| } |
| layer { |
| name: "inception_4c/1x1" |
| type: "Convolution" |
| bottom: "inception_4b/output" |
| top: "inception_4c/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_4c/1x1" |
| top: "inception_4c/1x1" |
| } |
| layer { |
| name: "inception_4c/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_4b/output" |
| top: "inception_4c/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_4c/3x3_reduce" |
| top: "inception_4c/3x3_reduce" |
| } |
| layer { |
| name: "inception_4c/3x3" |
| type: "Convolution" |
| bottom: "inception_4c/3x3_reduce" |
| top: "inception_4c/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 256 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_4c/3x3" |
| top: "inception_4c/3x3" |
| } |
| layer { |
| name: "inception_4c/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_4b/output" |
| top: "inception_4c/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 24 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_4c/5x5_reduce" |
| top: "inception_4c/5x5_reduce" |
| } |
| layer { |
| name: "inception_4c/5x5" |
| type: "Convolution" |
| bottom: "inception_4c/5x5_reduce" |
| top: "inception_4c/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_4c/5x5" |
| top: "inception_4c/5x5" |
| } |
| layer { |
| name: "inception_4c/pool" |
| type: "Pooling" |
| bottom: "inception_4b/output" |
| top: "inception_4c/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_4c/pool_proj" |
| type: "Convolution" |
| bottom: "inception_4c/pool" |
| top: "inception_4c/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4c/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_4c/pool_proj" |
| top: "inception_4c/pool_proj" |
| } |
| layer { |
| name: "inception_4c/output" |
| type: "Concat" |
| bottom: "inception_4c/1x1" |
| bottom: "inception_4c/3x3" |
| bottom: "inception_4c/5x5" |
| bottom: "inception_4c/pool_proj" |
| top: "inception_4c/output" |
| } |
| layer { |
| name: "inception_4d/1x1" |
| type: "Convolution" |
| bottom: "inception_4c/output" |
| top: "inception_4d/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 112 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_4d/1x1" |
| top: "inception_4d/1x1" |
| } |
| layer { |
| name: "inception_4d/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_4c/output" |
| top: "inception_4d/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 144 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_4d/3x3_reduce" |
| top: "inception_4d/3x3_reduce" |
| } |
| layer { |
| name: "inception_4d/3x3" |
| type: "Convolution" |
| bottom: "inception_4d/3x3_reduce" |
| top: "inception_4d/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 288 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_4d/3x3" |
| top: "inception_4d/3x3" |
| } |
| layer { |
| name: "inception_4d/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_4c/output" |
| top: "inception_4d/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_4d/5x5_reduce" |
| top: "inception_4d/5x5_reduce" |
| } |
| layer { |
| name: "inception_4d/5x5" |
| type: "Convolution" |
| bottom: "inception_4d/5x5_reduce" |
| top: "inception_4d/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_4d/5x5" |
| top: "inception_4d/5x5" |
| } |
| layer { |
| name: "inception_4d/pool" |
| type: "Pooling" |
| bottom: "inception_4c/output" |
| top: "inception_4d/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_4d/pool_proj" |
| type: "Convolution" |
| bottom: "inception_4d/pool" |
| top: "inception_4d/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 64 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4d/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_4d/pool_proj" |
| top: "inception_4d/pool_proj" |
| } |
| layer { |
| name: "inception_4d/output" |
| type: "Concat" |
| bottom: "inception_4d/1x1" |
| bottom: "inception_4d/3x3" |
| bottom: "inception_4d/5x5" |
| bottom: "inception_4d/pool_proj" |
| top: "inception_4d/output" |
| } |
| layer { |
| name: "inception_4e/1x1" |
| type: "Convolution" |
| bottom: "inception_4d/output" |
| top: "inception_4e/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 256 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_4e/1x1" |
| top: "inception_4e/1x1" |
| } |
| layer { |
| name: "inception_4e/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_4d/output" |
| top: "inception_4e/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 160 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_4e/3x3_reduce" |
| top: "inception_4e/3x3_reduce" |
| } |
| layer { |
| name: "inception_4e/3x3" |
| type: "Convolution" |
| bottom: "inception_4e/3x3_reduce" |
| top: "inception_4e/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 320 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_4e/3x3" |
| top: "inception_4e/3x3" |
| } |
| layer { |
| name: "inception_4e/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_4d/output" |
| top: "inception_4e/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_4e/5x5_reduce" |
| top: "inception_4e/5x5_reduce" |
| } |
| layer { |
| name: "inception_4e/5x5" |
| type: "Convolution" |
| bottom: "inception_4e/5x5_reduce" |
| top: "inception_4e/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_4e/5x5" |
| top: "inception_4e/5x5" |
| } |
| layer { |
| name: "inception_4e/pool" |
| type: "Pooling" |
| bottom: "inception_4d/output" |
| top: "inception_4e/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_4e/pool_proj" |
| type: "Convolution" |
| bottom: "inception_4e/pool" |
| top: "inception_4e/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_4e/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_4e/pool_proj" |
| top: "inception_4e/pool_proj" |
| } |
| layer { |
| name: "inception_4e/output" |
| type: "Concat" |
| bottom: "inception_4e/1x1" |
| bottom: "inception_4e/3x3" |
| bottom: "inception_4e/5x5" |
| bottom: "inception_4e/pool_proj" |
| top: "inception_4e/output" |
| } |
| layer { |
| name: "pool4/3x3_s2" |
| type: "Pooling" |
| bottom: "inception_4e/output" |
| top: "pool4/3x3_s2" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 2 |
| } |
| } |
| layer { |
| name: "inception_5a/1x1" |
| type: "Convolution" |
| bottom: "pool4/3x3_s2" |
| top: "inception_5a/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 256 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_5a/1x1" |
| top: "inception_5a/1x1" |
| } |
| layer { |
| name: "inception_5a/3x3_reduce" |
| type: "Convolution" |
| bottom: "pool4/3x3_s2" |
| top: "inception_5a/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 160 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_5a/3x3_reduce" |
| top: "inception_5a/3x3_reduce" |
| } |
| layer { |
| name: "inception_5a/3x3" |
| type: "Convolution" |
| bottom: "inception_5a/3x3_reduce" |
| top: "inception_5a/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 320 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_5a/3x3" |
| top: "inception_5a/3x3" |
| } |
| layer { |
| name: "inception_5a/5x5_reduce" |
| type: "Convolution" |
| bottom: "pool4/3x3_s2" |
| top: "inception_5a/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 32 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_5a/5x5_reduce" |
| top: "inception_5a/5x5_reduce" |
| } |
| layer { |
| name: "inception_5a/5x5" |
| type: "Convolution" |
| bottom: "inception_5a/5x5_reduce" |
| top: "inception_5a/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_5a/5x5" |
| top: "inception_5a/5x5" |
| } |
| layer { |
| name: "inception_5a/pool" |
| type: "Pooling" |
| bottom: "pool4/3x3_s2" |
| top: "inception_5a/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_5a/pool_proj" |
| type: "Convolution" |
| bottom: "inception_5a/pool" |
| top: "inception_5a/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5a/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_5a/pool_proj" |
| top: "inception_5a/pool_proj" |
| } |
| layer { |
| name: "inception_5a/output" |
| type: "Concat" |
| bottom: "inception_5a/1x1" |
| bottom: "inception_5a/3x3" |
| bottom: "inception_5a/5x5" |
| bottom: "inception_5a/pool_proj" |
| top: "inception_5a/output" |
| } |
| layer { |
| name: "inception_5b/1x1" |
| type: "Convolution" |
| bottom: "inception_5a/output" |
| top: "inception_5b/1x1" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 384 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_1x1" |
| type: "ReLU" |
| bottom: "inception_5b/1x1" |
| top: "inception_5b/1x1" |
| } |
| layer { |
| name: "inception_5b/3x3_reduce" |
| type: "Convolution" |
| bottom: "inception_5a/output" |
| top: "inception_5b/3x3_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 192 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_3x3_reduce" |
| type: "ReLU" |
| bottom: "inception_5b/3x3_reduce" |
| top: "inception_5b/3x3_reduce" |
| } |
| layer { |
| name: "inception_5b/3x3" |
| type: "Convolution" |
| bottom: "inception_5b/3x3_reduce" |
| top: "inception_5b/3x3" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 384 |
| pad: 1 |
| kernel_size: 3 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_3x3" |
| type: "ReLU" |
| bottom: "inception_5b/3x3" |
| top: "inception_5b/3x3" |
| } |
| layer { |
| name: "inception_5b/5x5_reduce" |
| type: "Convolution" |
| bottom: "inception_5a/output" |
| top: "inception_5b/5x5_reduce" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 48 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_5x5_reduce" |
| type: "ReLU" |
| bottom: "inception_5b/5x5_reduce" |
| top: "inception_5b/5x5_reduce" |
| } |
| layer { |
| name: "inception_5b/5x5" |
| type: "Convolution" |
| bottom: "inception_5b/5x5_reduce" |
| top: "inception_5b/5x5" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| pad: 2 |
| kernel_size: 5 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_5x5" |
| type: "ReLU" |
| bottom: "inception_5b/5x5" |
| top: "inception_5b/5x5" |
| } |
| layer { |
| name: "inception_5b/pool" |
| type: "Pooling" |
| bottom: "inception_5a/output" |
| top: "inception_5b/pool" |
| pooling_param { |
| pool: MAX |
| kernel_size: 3 |
| stride: 1 |
| pad: 1 |
| } |
| } |
| layer { |
| name: "inception_5b/pool_proj" |
| type: "Convolution" |
| bottom: "inception_5b/pool" |
| top: "inception_5b/pool_proj" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| convolution_param { |
| num_output: 128 |
| kernel_size: 1 |
| } |
| } |
| layer { |
| name: "inception_5b/relu_pool_proj" |
| type: "ReLU" |
| bottom: "inception_5b/pool_proj" |
| top: "inception_5b/pool_proj" |
| } |
| layer { |
| name: "inception_5b/output" |
| type: "Concat" |
| bottom: "inception_5b/1x1" |
| bottom: "inception_5b/3x3" |
| bottom: "inception_5b/5x5" |
| bottom: "inception_5b/pool_proj" |
| top: "inception_5b/output" |
| } |
| layer { |
| name: "pool5/7x7_s1" |
| type: "Pooling" |
| bottom: "inception_5b/output" |
| top: "pool5/7x7_s1" |
| pooling_param { |
| pool: AVE |
| kernel_size: 7 |
| stride: 1 |
| } |
| } |
| layer { |
| name: "pool5/drop_7x7_s1" |
| type: "Dropout" |
| bottom: "pool5/7x7_s1" |
| top: "pool5/7x7_s1" |
| dropout_param { |
| dropout_ratio: 0.4 |
| } |
| } |
| layer { |
| name: "loss3/classifier_agexgender" |
| type: "InnerProduct" |
| bottom: "pool5/7x7_s1" |
| top: "loss3/classifier_agexgender" |
| param { |
| lr_mult: 1 |
| decay_mult: 1 |
| } |
| param { |
| lr_mult: 2 |
| decay_mult: 0 |
| } |
| inner_product_param { |
| num_output: 2 |
| } |
| } |
| layer { |
| name: "loss3/loss3" |
| type: "Softmax" |
| bottom: "loss3/classifier_agexgender" |
| top: "loss3/loss3" |
| loss_weight: 1 |
| } |
|
|
