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December 1, 2018 07:43
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| name: "ResNet-18" | |
| layer { | |
| name: "data" | |
| type: "Input" | |
| top: "data" | |
| input_param { | |
| shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 224 | |
| dim: 224 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| bottom: "conv1" | |
| top: "conv1/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale_conv1" | |
| type: "Scale" | |
| bottom: "conv1/bn" | |
| top: "conv1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| bottom: "conv1/bn" | |
| top: "conv1/bn" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1/bn" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| bottom: "res2a_branch1/bn" | |
| top: "res2a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| bottom: "res2a_branch2a/bn" | |
| top: "res2a_branch2b" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| bottom: "res2a_branch2b/bn" | |
| top: "res2a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2a" | |
| type: "Eltwise" | |
| bottom: "res2a_branch1/bn" | |
| bottom: "res2a_branch2b/bn" | |
| top: "res2a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| bottom: "res2b_branch2a/bn" | |
| top: "res2b_branch2b" | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| bottom: "res2b_branch2b/bn" | |
| top: "res2b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res2b" | |
| type: "Eltwise" | |
| bottom: "res2a" | |
| bottom: "res2b_branch2b/bn" | |
| top: "res2b" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b" | |
| top: "res2b" | |
| } | |
| layer { | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| bottom: "res2b" | |
| top: "res3a_branch1" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| bottom: "res3a_branch1/bn" | |
| top: "res3a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| bottom: "res2b" | |
| top: "res3a_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| bottom: "res3a_branch2a/bn" | |
| top: "res3a_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| bottom: "res3a_branch2b/bn" | |
| top: "res3a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3a" | |
| type: "Eltwise" | |
| bottom: "res3a_branch1/bn" | |
| bottom: "res3a_branch2b/bn" | |
| top: "res3a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| bottom: "res3a" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3b_branch2a" | |
| type: "Convolution" | |
| bottom: "res3a" | |
| top: "res3b_branch2a" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale3b_branch2a" | |
| type: "Scale" | |
| bottom: "res3b_branch2a/bn" | |
| top: "res3b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b_branch2a/bn" | |
| top: "res3b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res3b_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b_branch2a/bn" | |
| top: "res3b_branch2b" | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale3b_branch2b" | |
| type: "Scale" | |
| bottom: "res3b_branch2b/bn" | |
| top: "res3b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res3b" | |
| type: "Eltwise" | |
| bottom: "res3a" | |
| bottom: "res3b_branch2b/bn" | |
| top: "res3b" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res3b_relu" | |
| type: "ReLU" | |
| bottom: "res3b" | |
| top: "res3b" | |
| } | |
| layer { | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| bottom: "res3b" | |
| top: "res4a_branch1" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| bottom: "res4a_branch1/bn" | |
| top: "res4a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b" | |
| top: "res4a_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| bottom: "res4a_branch2a/bn" | |
| top: "res4a_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| bottom: "res4a_branch2b/bn" | |
| top: "res4a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4a" | |
| type: "Eltwise" | |
| bottom: "res4a_branch1/bn" | |
| bottom: "res4a_branch2b/bn" | |
| top: "res4a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| bottom: "res4a" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4b_branch2a" | |
| type: "Convolution" | |
| bottom: "res4a" | |
| top: "res4b_branch2a" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale4b_branch2a" | |
| type: "Scale" | |
| bottom: "res4b_branch2a/bn" | |
| top: "res4b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b_branch2a/bn" | |
| top: "res4b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res4b_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b_branch2a/bn" | |
| top: "res4b_branch2b" | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale4b_branch2b" | |
| type: "Scale" | |
| bottom: "res4b_branch2b/bn" | |
| top: "res4b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res4b" | |
| type: "Eltwise" | |
| bottom: "res4a" | |
| bottom: "res4b_branch2b/bn" | |
| top: "res4b" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res4b_relu" | |
| type: "ReLU" | |
| bottom: "res4b" | |
| top: "res4b" | |
| } | |
| layer { | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| bottom: "res4b" | |
| top: "res5a_branch1" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| bottom: "res5a_branch1/bn" | |
| top: "res5a_branch1/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b" | |
| top: "res5a_branch2a" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2a/bn" | |
| } | |
| layer { | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| bottom: "res5a_branch2a/bn" | |
| top: "res5a_branch2b" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| bottom: "res5a_branch2b/bn" | |
| top: "res5a_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5a" | |
| type: "Eltwise" | |
| bottom: "res5a_branch1/bn" | |
| bottom: "res5a_branch2b/bn" | |
| top: "res5a" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| bottom: "res5a" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2a/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2a/bn" | |
| } | |
| layer { | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| bottom: "res5b_branch2a/bn" | |
| top: "res5b_branch2b" | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "msra" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b/bn" | |
| batch_norm_param { | |
| moving_average_fraction: 0.899999976158 | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| bottom: "res5b_branch2b/bn" | |
| top: "res5b_branch2b/bn" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "res5b" | |
| type: "Eltwise" | |
| bottom: "res5a" | |
| bottom: "res5b_branch2b/bn" | |
| top: "res5b" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| bottom: "res5b" | |
| top: "res5b" | |
| } | |
| layer { | |
| name: "pool5" | |
| type: "Pooling" | |
| bottom: "res5b" | |
| top: "pool5" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "fc1000" | |
| type: "InnerProduct" | |
| bottom: "pool5" | |
| top: "fc1000" | |
| param { | |
| lr_mult: 1.0 | |
| decay_mult: 1.0 | |
| } | |
| param { | |
| lr_mult: 2.0 | |
| decay_mult: 1.0 | |
| } | |
| inner_product_param { | |
| num_output: 1000 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "prob" | |
| type: "Softmax" | |
| bottom: "fc1000" | |
| top: "prob" | |
| } |
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