2158 lines
35 KiB
Plaintext
2158 lines
35 KiB
Plaintext
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name: "GoogleNet"
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layer {
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name: "data"
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type: "Input"
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top: "data"
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input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
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}
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layer {
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name: "conv1/7x7_s2"
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type: "Convolution"
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bottom: "data"
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top: "conv1/7x7_s2"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 64
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pad: 3
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kernel_size: 7
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stride: 2
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weight_filler {
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type: "xavier"
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std: 0.1
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "conv1/relu_7x7"
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type: "ReLU"
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bottom: "conv1/7x7_s2"
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top: "conv1/7x7_s2"
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}
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layer {
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name: "pool1/3x3_s2"
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type: "Pooling"
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bottom: "conv1/7x7_s2"
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top: "pool1/3x3_s2"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "pool1/norm1"
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type: "LRN"
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bottom: "pool1/3x3_s2"
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top: "pool1/norm1"
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lrn_param {
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local_size: 5
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alpha: 0.0001
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beta: 0.75
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}
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}
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layer {
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name: "conv2/3x3_reduce"
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type: "Convolution"
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bottom: "pool1/norm1"
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top: "conv2/3x3_reduce"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 64
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kernel_size: 1
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weight_filler {
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type: "xavier"
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std: 0.1
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "conv2/relu_3x3_reduce"
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type: "ReLU"
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bottom: "conv2/3x3_reduce"
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top: "conv2/3x3_reduce"
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}
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layer {
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name: "conv2/3x3"
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type: "Convolution"
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bottom: "conv2/3x3_reduce"
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top: "conv2/3x3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 192
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pad: 1
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kernel_size: 3
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weight_filler {
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type: "xavier"
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std: 0.03
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "conv2/relu_3x3"
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type: "ReLU"
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bottom: "conv2/3x3"
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top: "conv2/3x3"
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}
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layer {
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name: "conv2/norm2"
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type: "LRN"
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bottom: "conv2/3x3"
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top: "conv2/norm2"
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lrn_param {
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local_size: 5
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alpha: 0.0001
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beta: 0.75
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}
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}
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layer {
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name: "pool2/3x3_s2"
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type: "Pooling"
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bottom: "conv2/norm2"
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top: "pool2/3x3_s2"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "inception_3a/1x1"
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type: "Convolution"
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bottom: "pool2/3x3_s2"
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top: "inception_3a/1x1"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 64
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kernel_size: 1
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weight_filler {
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type: "xavier"
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std: 0.03
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_1x1"
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type: "ReLU"
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bottom: "inception_3a/1x1"
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top: "inception_3a/1x1"
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}
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layer {
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name: "inception_3a/3x3_reduce"
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type: "Convolution"
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bottom: "pool2/3x3_s2"
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top: "inception_3a/3x3_reduce"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 96
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kernel_size: 1
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weight_filler {
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type: "xavier"
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std: 0.09
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_3x3_reduce"
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type: "ReLU"
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bottom: "inception_3a/3x3_reduce"
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top: "inception_3a/3x3_reduce"
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}
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layer {
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name: "inception_3a/3x3"
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type: "Convolution"
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bottom: "inception_3a/3x3_reduce"
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top: "inception_3a/3x3"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 128
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pad: 1
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kernel_size: 3
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weight_filler {
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type: "xavier"
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std: 0.03
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_3x3"
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type: "ReLU"
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bottom: "inception_3a/3x3"
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top: "inception_3a/3x3"
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}
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layer {
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name: "inception_3a/5x5_reduce"
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type: "Convolution"
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bottom: "pool2/3x3_s2"
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top: "inception_3a/5x5_reduce"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 16
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kernel_size: 1
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weight_filler {
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type: "xavier"
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std: 0.2
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_5x5_reduce"
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type: "ReLU"
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bottom: "inception_3a/5x5_reduce"
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top: "inception_3a/5x5_reduce"
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}
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layer {
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name: "inception_3a/5x5"
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type: "Convolution"
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bottom: "inception_3a/5x5_reduce"
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top: "inception_3a/5x5"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 32
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pad: 2
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kernel_size: 5
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weight_filler {
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type: "xavier"
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std: 0.03
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}
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bias_filler {
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type: "constant"
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_5x5"
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type: "ReLU"
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bottom: "inception_3a/5x5"
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top: "inception_3a/5x5"
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}
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layer {
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name: "inception_3a/pool"
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type: "Pooling"
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bottom: "pool2/3x3_s2"
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top: "inception_3a/pool"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 1
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pad: 1
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}
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}
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layer {
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name: "inception_3a/pool_proj"
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type: "Convolution"
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bottom: "inception_3a/pool"
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top: "inception_3a/pool_proj"
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param {
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lr_mult: 1
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decay_mult: 1
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}
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param {
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lr_mult: 2
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decay_mult: 0
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}
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convolution_param {
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num_output: 32
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kernel_size: 1
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weight_filler {
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||
|
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type: "xavier"
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std: 0.1
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||
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}
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||
|
|
bias_filler {
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||
|
|
type: "constant"
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|
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value: 0.2
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}
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}
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}
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layer {
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name: "inception_3a/relu_pool_proj"
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type: "ReLU"
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bottom: "inception_3a/pool_proj"
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top: "inception_3a/pool_proj"
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}
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layer {
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name: "inception_3a/output"
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type: "Concat"
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bottom: "inception_3a/1x1"
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bottom: "inception_3a/3x3"
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bottom: "inception_3a/5x5"
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bottom: "inception_3a/pool_proj"
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top: "inception_3a/output"
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}
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layer {
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name: "inception_3b/1x1"
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type: "Convolution"
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||
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bottom: "inception_3a/output"
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||
|
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top: "inception_3b/1x1"
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||
|
|
param {
|
||
|
|
lr_mult: 1
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||
|
|
decay_mult: 1
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||
|
|
}
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||
|
|
param {
|
||
|
|
lr_mult: 2
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||
|
|
decay_mult: 0
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||
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}
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||
|
|
convolution_param {
|
||
|
|
num_output: 128
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kernel_size: 1
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||
|
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weight_filler {
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||
|
|
type: "xavier"
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||
|
|
std: 0.03
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||
|
|
}
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||
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|
bias_filler {
|
||
|
|
type: "constant"
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||
|
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value: 0.2
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}
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||
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}
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}
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layer {
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||
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name: "inception_3b/relu_1x1"
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|
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type: "ReLU"
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||
|
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bottom: "inception_3b/1x1"
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||
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top: "inception_3b/1x1"
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||
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}
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||
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layer {
|
||
|
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name: "inception_3b/3x3_reduce"
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||
|
|
type: "Convolution"
|
||
|
|
bottom: "inception_3a/output"
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||
|
|
top: "inception_3b/3x3_reduce"
|
||
|
|
param {
|
||
|
|
lr_mult: 1
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||
|
|
decay_mult: 1
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||
|
|
}
|
||
|
|
param {
|
||
|
|
lr_mult: 2
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||
|
|
decay_mult: 0
|
||
|
|
}
|
||
|
|
convolution_param {
|
||
|
|
num_output: 128
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||
|
|
kernel_size: 1
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||
|
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weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.09
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.2
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.03
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
std: 0.1
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0.2
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
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"
|
||
|
|
type: "InnerProduct"
|
||
|
|
bottom: "pool5/7x7_s1"
|
||
|
|
top: "loss3/classifier"
|
||
|
|
param {
|
||
|
|
lr_mult: 1
|
||
|
|
decay_mult: 1
|
||
|
|
}
|
||
|
|
param {
|
||
|
|
lr_mult: 2
|
||
|
|
decay_mult: 0
|
||
|
|
}
|
||
|
|
inner_product_param {
|
||
|
|
num_output: 1000
|
||
|
|
weight_filler {
|
||
|
|
type: "xavier"
|
||
|
|
}
|
||
|
|
bias_filler {
|
||
|
|
type: "constant"
|
||
|
|
value: 0
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
layer {
|
||
|
|
name: "prob"
|
||
|
|
type: "Softmax"
|
||
|
|
bottom: "loss3/classifier"
|
||
|
|
top: "prob"
|
||
|
|
}
|