Created
January 12, 2017 00:18
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name: "CReLU-conv1-4" | |
input: "data" | |
input_shape { | |
dim: 1 | |
dim: 3 | |
dim: 224 | |
dim: 224 | |
} | |
layer { | |
name: "conv1" | |
type: "Convolution" | |
bottom: "data" | |
top: "conv1" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 48 | |
pad: 0 | |
kernel_size: 11 | |
group: 1 | |
stride: 4 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "power1" | |
type: "Power" | |
bottom: "conv1" | |
top: "power1" | |
power_param { | |
power: 1.0 | |
scale: -1.0 | |
shift: 0.0 | |
} | |
} | |
layer { | |
name: "concat1" | |
type: "Concat" | |
bottom: "conv1" | |
bottom: "power1" | |
top: "concat1" | |
} | |
layer { | |
name: "relu1" | |
type: "ReLU" | |
bottom: "concat1" | |
top: "concat1" | |
} | |
layer { | |
name: "conv2" | |
type: "Convolution" | |
bottom: "concat1" | |
top: "conv2" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 48 | |
pad: 0 | |
kernel_size: 1 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu2" | |
type: "ReLU" | |
bottom: "conv2" | |
top: "conv2" | |
} | |
layer { | |
name: "conv3" | |
type: "Convolution" | |
bottom: "conv2" | |
top: "conv3" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 48 | |
pad: 0 | |
kernel_size: 3 | |
group: 1 | |
stride: 2 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu3" | |
type: "ReLU" | |
bottom: "conv3" | |
top: "conv3" | |
} | |
layer { | |
name: "conv4" | |
type: "Convolution" | |
bottom: "conv3" | |
top: "conv4" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 128 | |
pad: 2 | |
kernel_size: 5 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "power4" | |
type: "Power" | |
bottom: "conv4" | |
top: "power4" | |
power_param { | |
power: 1.0 | |
scale: -1.0 | |
shift: 0.0 | |
} | |
} | |
layer { | |
name: "concat4" | |
type: "Concat" | |
bottom: "conv4" | |
bottom: "power4" | |
top: "concat4" | |
} | |
layer { | |
name: "relu4" | |
type: "ReLU" | |
bottom: "concat4" | |
top: "concat4" | |
} | |
layer { | |
name: "conv5" | |
type: "Convolution" | |
bottom: "concat4" | |
top: "conv5" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 48 | |
pad: 0 | |
kernel_size: 1 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu5" | |
type: "ReLU" | |
bottom: "conv5" | |
top: "conv5" | |
} | |
layer { | |
name: "conv6" | |
type: "Convolution" | |
bottom: "conv5" | |
top: "conv6" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 48 | |
pad: 0 | |
kernel_size: 3 | |
group: 1 | |
stride: 2 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu6" | |
type: "ReLU" | |
bottom: "conv6" | |
top: "conv6" | |
} | |
layer { | |
name: "conv7" | |
type: "Convolution" | |
bottom: "conv6" | |
top: "conv7" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 192 | |
pad: 1 | |
kernel_size: 3 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "power7" | |
type: "Power" | |
bottom: "conv7" | |
top: "power7" | |
power_param { | |
power: 1.0 | |
scale: -1.0 | |
shift: 0.0 | |
} | |
} | |
layer { | |
name: "concat7" | |
type: "Concat" | |
bottom: "conv7" | |
bottom: "power7" | |
top: "concat7" | |
} | |
layer { | |
name: "relu7" | |
type: "ReLU" | |
bottom: "concat7" | |
top: "concat7" | |
} | |
layer { | |
name: "conv8" | |
type: "Convolution" | |
bottom: "concat7" | |
top: "conv8" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 192 | |
pad: 0 | |
kernel_size: 1 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu8" | |
type: "ReLU" | |
bottom: "conv8" | |
top: "conv8" | |
} | |
layer { | |
name: "conv9" | |
type: "Convolution" | |
bottom: "conv8" | |
top: "conv9" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 192 | |
pad: 1 | |
kernel_size: 3 | |
group: 1 | |
stride: 2 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu9" | |
type: "ReLU" | |
bottom: "conv9" | |
top: "conv9" | |
} | |
layer { | |
name: "drop" | |
type: "Dropout" | |
bottom: "conv9" | |
top: "drop" | |
dropout_param { | |
dropout_ratio: 0.25 | |
} | |
} | |
layer { | |
name: "conv10" | |
type: "Convolution" | |
bottom: "drop" | |
top: "conv10" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 512 | |
pad: 1 | |
kernel_size: 3 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu10" | |
type: "ReLU" | |
bottom: "conv10" | |
top: "conv10" | |
} | |
layer { | |
name: "conv11" | |
type: "Convolution" | |
bottom: "conv10" | |
top: "conv11" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 512 | |
pad: 0 | |
kernel_size: 1 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu11" | |
type: "ReLU" | |
bottom: "conv11" | |
top: "conv11" | |
} | |
layer { | |
name: "conv12" | |
type: "Convolution" | |
bottom: "conv11" | |
top: "conv12" | |
param { | |
lr_mult: 1.0 | |
decay_mult: 1.0 | |
} | |
param { | |
lr_mult: 2.0 | |
decay_mult: 0.0 | |
} | |
convolution_param { | |
num_output: 1000 | |
pad: 0 | |
kernel_size: 1 | |
group: 1 | |
stride: 1 | |
weight_filler { | |
type: "xavier" | |
} | |
bias_filler { | |
type: "constant" | |
value: 0.2 | |
} | |
} | |
} | |
layer { | |
name: "relu12" | |
type: "ReLU" | |
bottom: "conv12" | |
top: "conv12" | |
} | |
layer { | |
name: "pool" | |
type: "Pooling" | |
bottom: "conv12" | |
top: "pool" | |
pooling_param { | |
pool: AVE | |
global_pooling: true | |
} | |
} | |
layer { | |
name: "softmax" | |
type: "Softmax" | |
bottom: "pool" | |
top: "softmax" | |
} |
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