Created
November 12, 2016 15:48
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input: "data" | |
input_dim: 1 | |
input_dim: 3 | |
input_dim: 227 | |
input_dim: 227 | |
layer { | |
name: "conv1" | |
type: "Convolution" | |
bottom: "data" | |
top: "conv1" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 96 | |
pad: 0 | |
kernel_size: 11 | |
stride: 4 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "conv1_bn" | |
type: "BatchNorm" | |
bottom: "conv1" | |
top: "conv1" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
name: "conv1_scale" | |
type: "Scale" | |
bottom: "conv1" | |
top: "conv1" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
name: "conv1_relu" | |
type: "ReLU" | |
bottom: "conv1" | |
top: "conv1" | |
} | |
layer { | |
name: "pool1" | |
type: "Pooling" | |
bottom: "conv1" | |
top: "pool1" | |
pooling_param { | |
pool: MAX | |
kernel_size: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "conv2" | |
type: "Convolution" | |
bottom: "pool1" | |
top: "conv2" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 256 | |
pad: 2 | |
kernel_size: 5 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "conv2_bn" | |
type: "BatchNorm" | |
bottom: "conv2" | |
top: "conv2" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
name: "conv2_scale" | |
type: "Scale" | |
bottom: "conv2" | |
top: "conv2" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
name: "conv2_relu" | |
type: "ReLU" | |
bottom: "conv2" | |
top: "conv2" | |
} | |
layer { | |
name: "pool2" | |
type: "Pooling" | |
bottom: "conv2" | |
top: "pool2" | |
pooling_param { | |
pool: MAX | |
kernel_size: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "conv3" | |
type: "Convolution" | |
bottom: "pool2" | |
top: "conv3" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 384 | |
pad: 1 | |
kernel_size: 3 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "conv3_bn" | |
type: "BatchNorm" | |
bottom: "conv3" | |
top: "conv3" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
name: "conv3_scale" | |
type: "Scale" | |
bottom: "conv3" | |
top: "conv3" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
name: "conv3_relu" | |
type: "ReLU" | |
bottom: "conv3" | |
top: "conv3" | |
} | |
layer { | |
name: "conv4" | |
type: "Convolution" | |
bottom: "conv3" | |
top: "conv4" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 384 | |
pad: 1 | |
kernel_size: 3 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "conv4_bn" | |
type: "BatchNorm" | |
bottom: "conv4" | |
top: "conv4" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
name: "conv4_scale" | |
type: "Scale" | |
bottom: "conv4" | |
top: "conv4" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
name: "conv4_relu" | |
type: "ReLU" | |
bottom: "conv4" | |
top: "conv4" | |
} | |
layer { | |
name: "conv5" | |
type: "Convolution" | |
bottom: "conv4" | |
top: "conv5" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
convolution_param { | |
num_output: 256 | |
pad: 1 | |
kernel_size: 3 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "conv5_bn" | |
type: "BatchNorm" | |
bottom: "conv5" | |
top: "conv5" | |
batch_norm_param { | |
use_global_stats: true | |
} | |
} | |
layer { | |
name: "conv5_scale" | |
type: "Scale" | |
bottom: "conv5" | |
top: "conv5" | |
scale_param { | |
bias_term: true | |
} | |
} | |
layer { | |
name: "conv5_relu" | |
type: "ReLU" | |
bottom: "conv5" | |
top: "conv5" | |
} | |
layer { | |
name: "pool5" | |
type: "Pooling" | |
bottom: "conv5" | |
top: "pool5" | |
pooling_param { | |
pool: MAX | |
kernel_size: 3 | |
stride: 2 | |
} | |
} | |
layer { | |
name: "fc6" | |
type: "InnerProduct" | |
bottom: "pool5" | |
top: "fc6" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
inner_product_param { | |
num_output: 4096 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu6" | |
type: "ReLU" | |
bottom: "fc6" | |
top: "fc6" | |
} | |
layer { | |
name: "drop6" | |
type: "Dropout" | |
bottom: "fc6" | |
top: "fc6" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
layer { | |
name: "fc7" | |
type: "InnerProduct" | |
bottom: "fc6" | |
top: "fc7" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
inner_product_param { | |
num_output: 4096 | |
weight_filler { | |
type: "xavier" | |
std: 1 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu7" | |
type: "ReLU" | |
bottom: "fc7" | |
top: "fc7" | |
} | |
layer { | |
name: "drop7" | |
type: "Dropout" | |
bottom: "fc7" | |
top: "fc7" | |
dropout_param { | |
dropout_ratio: 0.5 | |
} | |
} | |
layer { | |
name: "fc8" | |
type: "InnerProduct" | |
bottom: "fc7" | |
top: "fc8" | |
param { | |
lr_mult: 1 | |
decay_mult: 1 | |
} | |
param { | |
lr_mult: 2 | |
decay_mult: 0 | |
} | |
inner_product_param { | |
num_output: 1000 | |
weight_filler { | |
type: "gaussian" | |
std: 0.01 | |
} | |
bias_filler { | |
type: "constant" | |
value: 0 | |
} | |
} | |
} | |
layer { | |
name: "prob" | |
type: "Softmax" | |
bottom: "fc8" | |
top: "prob" | |
} |
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