Simshang
11/22/2016 - 6:52 AM
GoogleNet
name: "GoogleNet"
layer {
name : "data"
type : "Data"
top : "data"
top : "label"
include {
phase : TRAIN
}
transform_param {
mirror : true
crop_size : 224
mean_value : 104
mean_value : 117
mean_value : 123
}
data_param {
source : "examples/imagenet/ilsvrc12_train_lmdb"
batch_size : 32
backend : LMDB
}
}
layer {
name : "data"
type : "Data"
top : "data"
top : "label"
include {
phase : TEST
}
transform_param {
mirror : false
crop_size : 224
mean_value : 104
mean_value : 117
mean_value : 123
}
data_param {
source : "examples/imagenet/ilsvrc12_val_lmdb"
batch_size : 50
backend : LMDB
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
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
weight_filler {
type : "xavier"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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 : "loss1/ave_pool"
type : "Pooling"
bottom : "inception_4a/output"
top : "loss1/ave_pool"
pooling_param {
pool : AVE
kernel_size : 5
stride : 3
}
}
layer {
name : "loss1/conv"
type : "Convolution"
bottom : "loss1/ave_pool"
top : "loss1/conv"
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"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
layer {
name : "loss1/relu_conv"
type : "ReLU"
bottom : "loss1/conv"
top : "loss1/conv"
}
layer {
name : "loss1/fc"
type : "InnerProduct"
bottom : "loss1/conv"
top : "loss1/fc"
param {
lr_mult : 1
decay_mult : 1
}
param {
lr_mult : 2
decay_mult : 0
}
inner_product_param {
num_output : 1024
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
layer {
name : "loss1/relu_fc"
type : "ReLU"
bottom : "loss1/fc"
top : "loss1/fc"
}
layer {
name : "loss1/drop_fc"
type : "Dropout"
bottom : "loss1/fc"
top : "loss1/fc"
dropout_param {
dropout_ratio : 0.7
}
}
layer {
name : "loss1/classifier"
type : "InnerProduct"
bottom : "loss1/fc"
top : "loss1/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 : "loss1/loss"
type : "SoftmaxWithLoss"
bottom : "loss1/classifier"
bottom : "label"
top : "loss1/loss1"
loss_weight : 0.3
}
layer {
name : "loss1/top-1"
type : "Accuracy"
bottom : "loss1/classifier"
bottom : "label"
top : "loss1/top-1"
include {
phase : TEST
}
}
layer {
name : "loss1/top-5"
type : "Accuracy"
bottom : "loss1/classifier"
bottom : "label"
top : "loss1/top-5"
include {
phase : TEST
}
accuracy_param {
top_k : 5
}
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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 : "loss2/ave_pool"
type : "Pooling"
bottom : "inception_4d/output"
top : "loss2/ave_pool"
pooling_param {
pool : AVE
kernel_size : 5
stride : 3
}
}
layer {
name : "loss2/conv"
type : "Convolution"
bottom : "loss2/ave_pool"
top : "loss2/conv"
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"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
layer {
name : "loss2/relu_conv"
type : "ReLU"
bottom : "loss2/conv"
top : "loss2/conv"
}
layer {
name : "loss2/fc"
type : "InnerProduct"
bottom : "loss2/conv"
top : "loss2/fc"
param {
lr_mult : 1
decay_mult : 1
}
param {
lr_mult : 2
decay_mult : 0
}
inner_product_param {
num_output : 1024
weight_filler {
type : "xavier"
}
bias_filler {
type : "constant"
value : 0.2
}
}
}
layer {
name : "loss2/relu_fc"
type : "ReLU"
bottom : "loss2/fc"
top : "loss2/fc"
}
layer {
name : "loss2/drop_fc"
type : "Dropout"
bottom : "loss2/fc"
top : "loss2/fc"
dropout_param {
dropout_ratio : 0.7
}
}
layer {
name : "loss2/classifier"
type : "InnerProduct"
bottom : "loss2/fc"
top : "loss2/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 : "loss2/loss"
type : "SoftmaxWithLoss"
bottom : "loss2/classifier"
bottom : "label"
top : "loss2/loss1"
loss_weight : 0.3
}
layer {
name : "loss2/top-1"
type : "Accuracy"
bottom : "loss2/classifier"
bottom : "label"
top : "loss2/top-1"
include {
phase : TEST
}
}
layer {
name : "loss2/top-5"
type : "Accuracy"
bottom : "loss2/classifier"
bottom : "label"
top : "loss2/top-5"
include {
phase : TEST
}
accuracy_param {
top_k : 5
}
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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"
}
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 : "loss3/loss3"
type : "SoftmaxWithLoss"
bottom : "loss3/classifier"
bottom : "label"
top : "loss3/loss3"
loss_weight : 1
}
layer {
name : "loss3/top-1"
type : "Accuracy"
bottom : "loss3/classifier"
bottom : "label"
top : "loss3/top-1"
include {
phase : TEST
}
}
layer {
name : "loss3/top-5"
type : "Accuracy"
bottom : "loss3/classifier"
bottom : "label"
top : "loss3/top-5"
include {
phase : TEST
}
accuracy_param {
top_k : 5
}
}