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inceptionv1.prototxt
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inceptionv1.prototxt
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name: "InceptionV1"
input: "inputs"
input_shape {
dim: 1
dim: 3
dim: 224
dim: 224
}
layer {
name: "Conv2d_1a_7x7"
type: "Convolution"
bottom: "inputs"
top: "Conv2d_1a_7x7"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Conv2d_1a_7x7_bn"
type: "BatchNorm"
bottom: "Conv2d_1a_7x7"
top: "Conv2d_1a_7x7"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Conv2d_1a_7x7_scale"
type: "Scale"
bottom: "Conv2d_1a_7x7"
top: "Conv2d_1a_7x7"
scale_param {
bias_term: true
}
}
layer {
name: "Conv2d_1a_7x7_relu"
type: "ReLU"
bottom: "Conv2d_1a_7x7"
top: "Conv2d_1a_7x7"
}
layer {
name: "MaxPool_2a_3x3"
type: "Pooling"
bottom: "Conv2d_1a_7x7"
top: "MaxPool_2a_3x3"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "Conv2d_2b_1x1"
type: "Convolution"
bottom: "MaxPool_2a_3x3"
top: "Conv2d_2b_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Conv2d_2b_1x1_bn"
type: "BatchNorm"
bottom: "Conv2d_2b_1x1"
top: "Conv2d_2b_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Conv2d_2b_1x1_scale"
type: "Scale"
bottom: "Conv2d_2b_1x1"
top: "Conv2d_2b_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Conv2d_2b_1x1_relu"
type: "ReLU"
bottom: "Conv2d_2b_1x1"
top: "Conv2d_2b_1x1"
}
layer {
name: "Conv2d_2c_3x3"
type: "Convolution"
bottom: "Conv2d_2b_1x1"
top: "Conv2d_2c_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 192
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Conv2d_2c_3x3_bn"
type: "BatchNorm"
bottom: "Conv2d_2c_3x3"
top: "Conv2d_2c_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Conv2d_2c_3x3_scale"
type: "Scale"
bottom: "Conv2d_2c_3x3"
top: "Conv2d_2c_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Conv2d_2c_3x3_relu"
type: "ReLU"
bottom: "Conv2d_2c_3x3"
top: "Conv2d_2c_3x3"
}
layer {
name: "MaxPool_3a_3x3"
type: "Pooling"
bottom: "Conv2d_2c_3x3"
top: "MaxPool_3a_3x3"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_3a_3x3"
top: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_0/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_0/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_0/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_3a_3x3"
top: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_3b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 128
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0b_3x3_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0b_3x3_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_1/Conv2d_0b_3x3_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_3a_3x3"
top: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 16
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_3b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 32
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0b_3x3_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0b_3x3_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_2/Conv2d_0b_3x3_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
}
layer {
name: "Mixed_3b/Branch_3/MaxPool_0a_3x3"
type: "Pooling"
bottom: "MaxPool_3a_3x3"
top: "Mixed_3b/Branch_3/MaxPool_0a_3x3"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
type: "Convolution"
bottom: "Mixed_3b/Branch_3/MaxPool_0a_3x3"
top: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 32
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3b/Branch_3/Conv2d_0b_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3b/Branch_3/Conv2d_0b_1x1_scale"
type: "Scale"
bottom: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3b/Branch_3/Conv2d_0b_1x1_relu"
type: "ReLU"
bottom: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
}
layer {
name: "Mixed_3b"
type: "Concat"
bottom: "Mixed_3b/Branch_0/Conv2d_0a_1x1"
bottom: "Mixed_3b/Branch_1/Conv2d_0b_3x3"
bottom: "Mixed_3b/Branch_2/Conv2d_0b_3x3"
bottom: "Mixed_3b/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3b"
}
layer {
name: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
type: "Convolution"
bottom: "Mixed_3b"
top: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_0/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_0/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_0/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
type: "Convolution"
bottom: "Mixed_3b"
top: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_3c/Branch_1/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 192
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0b_3x3_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0b_3x3_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_1/Conv2d_0b_3x3_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
type: "Convolution"
bottom: "Mixed_3b"
top: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 32
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_3c/Branch_2/Conv2d_0a_1x1"
top: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 96
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0b_3x3_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0b_3x3_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_2/Conv2d_0b_3x3_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
top: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
}
layer {
name: "Mixed_3c/Branch_3/MaxPool_0a_3x3"
type: "Pooling"
bottom: "Mixed_3b"
top: "Mixed_3c/Branch_3/MaxPool_0a_3x3"
pooling_param {
pool: MAX
kernel_size: 3
stride: 1
pad: 1
}
}
layer {
name: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
type: "Convolution"
bottom: "Mixed_3c/Branch_3/MaxPool_0a_3x3"
top: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 64
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_3c/Branch_3/Conv2d_0b_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_3c/Branch_3/Conv2d_0b_1x1_scale"
type: "Scale"
bottom: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_3c/Branch_3/Conv2d_0b_1x1_relu"
type: "ReLU"
bottom: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
}
layer {
name: "Mixed_3c"
type: "Concat"
bottom: "Mixed_3c/Branch_0/Conv2d_0a_1x1"
bottom: "Mixed_3c/Branch_1/Conv2d_0b_3x3"
bottom: "Mixed_3c/Branch_2/Conv2d_0b_3x3"
bottom: "Mixed_3c/Branch_3/Conv2d_0b_1x1"
top: "Mixed_3c"
}
layer {
name: "MaxPool_4a_3x3"
type: "Pooling"
bottom: "Mixed_3c"
top: "MaxPool_4a_3x3"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_4a_3x3"
top: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 192
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_4b/Branch_0/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_4b/Branch_0/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_4b/Branch_0/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_0/Conv2d_0a_1x1"
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_4a_3x3"
top: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 96
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_4b/Branch_1/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 208
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0b_3x3_bn"
type: "BatchNorm"
bottom: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0b_3x3_scale"
type: "Scale"
bottom: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_4b/Branch_1/Conv2d_0b_3x3_relu"
type: "ReLU"
bottom: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
top: "Mixed_4b/Branch_1/Conv2d_0b_3x3"
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
type: "Convolution"
bottom: "MaxPool_4a_3x3"
top: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 16
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0a_1x1_bn"
type: "BatchNorm"
bottom: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
batch_norm_param {
use_global_stats: true
eps: 0.001
}
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0a_1x1_scale"
type: "Scale"
bottom: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
scale_param {
bias_term: true
}
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0a_1x1_relu"
type: "ReLU"
bottom: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0b_3x3"
type: "Convolution"
bottom: "Mixed_4b/Branch_2/Conv2d_0a_1x1"
top: "Mixed_4b/Branch_2/Conv2d_0b_3x3"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
bias_term: false
num_output: 48
pad: 1
kernel_size: 3
stride: 1
weight_filler {
type: "xavier"
std: 0.01
}
}
}
layer {
name: "Mixed_4b/Branch_2/Conv2d_0b_3x3_bn"