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name: "googlenet"
input: "data"
input_dim: 128
input_dim: 3
input_dim: 224
input_dim: 224
force_backward: true
layers {
name: "conv1/7x7_s2"
type: CONVOLUTION
bottom: "data"
top: "conv1/7x7_s2"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 7
stride: 2
pad: 3
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "conv1/relu_7x7"
type: RELU
bottom: "conv1/7x7_s2"
top: "conv1/7x7_s2"
}
layers {
name: "pool1/3x3_s2"
type: POOLING
bottom: "conv1/7x7_s2"
top: "pool1/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
# LRN (not added for now)
#layers {
# name: "pool1/norm1"
# type: LRN
# bottom: "pool1/3x3_s2"
# top: "pool1/norm1"
# lrn_param {
# local_size: 5
# alpha: 0.0001
# beta: 0.75
# }
#}
layers {
name: "conv2/3x3_reduce"
type: CONVOLUTION
# bottom: "pool1/norm1"
bottom: "pool1/3x3_s2"
top: "conv2/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "conv2/relu_3x3_reduce"
type: RELU
bottom: "conv2/3x3_reduce"
top: "conv2/3x3_reduce"
}
layers {
name: "conv2/3x3"
type: CONVOLUTION
bottom: "conv2/3x3_reduce"
top: "conv2/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 192
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "conv2/relu_3x3"
type: RELU
bottom: "conv2/3x3"
top: "conv2/3x3"
}
# LRN (not added for now)
#layers {
# name: "conv2/norm2"
# type: LRN
# bottom: "conv2/3x3"
# top: "conv2/norm2"
# lrn_param {
# local_size: 5
# alpha: 0.0001
# beta: 0.75
# }
#}
layers {
name: "pool2/3x3_s2"
type: POOLING
# bottom: "conv2/norm2"
bottom: "conv2/3x3"
top: "pool2/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layers {
name: "inception_3a/1x1"
type: CONVOLUTION
bottom: "pool2/3x3_s2"
top: "inception_3a/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3a/relu_1x1"
type: RELU
bottom: "inception_3a/1x1"
top: "inception_3a/1x1"
}
layers {
name: "inception_3a/3x3_reduce"
type: CONVOLUTION
bottom: "pool2/3x3_s2"
top: "inception_3a/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 96
kernel_size: 1
}
}
layers {
name: "inception_3a/relu_3x3_reduce"
type: RELU
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3_reduce"
}
layers {
name: "inception_3a/3x3"
type: CONVOLUTION
bottom: "inception_3a/3x3_reduce"
top: "inception_3a/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3a/relu_3x3"
type: RELU
bottom: "inception_3a/3x3"
top: "inception_3a/3x3"
}
layers {
name: "inception_3a/5x5_reduce"
type: CONVOLUTION
bottom: "pool2/3x3_s2"
top: "inception_3a/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3a/relu_5x5_reduce"
type: RELU
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5_reduce"
}
layers {
name: "inception_3a/5x5"
type: CONVOLUTION
bottom: "inception_3a/5x5_reduce"
top: "inception_3a/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3a/relu_5x5"
type: RELU
bottom: "inception_3a/5x5"
top: "inception_3a/5x5"
}
layers {
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
}
}
layers {
name: "inception_3a/pool_proj"
type: CONVOLUTION
bottom: "inception_3a/pool"
top: "inception_3a/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3a/relu_pool_proj"
type: RELU
bottom: "inception_3a/pool_proj"
top: "inception_3a/pool_proj"
}
layers {
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"
}
layers {
name: "inception_3b/1x1"
type: CONVOLUTION
bottom: "inception_3a/output"
top: "inception_3b/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_1x1"
type: RELU
bottom: "inception_3b/1x1"
top: "inception_3b/1x1"
}
layers {
name: "inception_3b/3x3_reduce"
type: CONVOLUTION
bottom: "inception_3a/output"
top: "inception_3b/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_3x3_reduce"
type: RELU
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3_reduce"
}
layers {
name: "inception_3b/3x3"
type: CONVOLUTION
bottom: "inception_3b/3x3_reduce"
top: "inception_3b/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 192
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_3x3"
type: RELU
bottom: "inception_3b/3x3"
top: "inception_3b/3x3"
}
layers {
name: "inception_3b/5x5_reduce"
type: CONVOLUTION
bottom: "inception_3a/output"
top: "inception_3b/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_5x5_reduce"
type: RELU
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5_reduce"
}
layers {
name: "inception_3b/5x5"
type: CONVOLUTION
bottom: "inception_3b/5x5_reduce"
top: "inception_3b/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 96
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_5x5"
type: RELU
bottom: "inception_3b/5x5"
top: "inception_3b/5x5"
}
layers {
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
}
}
layers {
name: "inception_3b/pool_proj"
type: CONVOLUTION
bottom: "inception_3b/pool"
top: "inception_3b/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_3b/relu_pool_proj"
type: RELU
bottom: "inception_3b/pool_proj"
top: "inception_3b/pool_proj"
}
layers {
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"
}
layers {
name: "pool3/3x3_s2"
type: POOLING
bottom: "inception_3b/output"
top: "pool3/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layers {
name: "inception_4a/1x1"
type: CONVOLUTION
bottom: "pool3/3x3_s2"
top: "inception_4a/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_1x1"
type: RELU
bottom: "inception_4a/1x1"
top: "inception_4a/1x1"
}
layers {
name: "inception_4a/3x3_reduce"
type: CONVOLUTION
bottom: "pool3/3x3_s2"
top: "inception_4a/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 96
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_3x3_reduce"
type: RELU
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3_reduce"
}
layers {
name: "inception_4a/3x3"
type: CONVOLUTION
bottom: "inception_4a/3x3_reduce"
top: "inception_4a/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 208
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_3x3"
type: RELU
bottom: "inception_4a/3x3"
top: "inception_4a/3x3"
}
layers {
name: "inception_4a/5x5_reduce"
type: CONVOLUTION
bottom: "pool3/3x3_s2"
top: "inception_4a/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 16
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_5x5_reduce"
type: RELU
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5_reduce"
}
layers {
name: "inception_4a/5x5"
type: CONVOLUTION
bottom: "inception_4a/5x5_reduce"
top: "inception_4a/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 48
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_5x5"
type: RELU
bottom: "inception_4a/5x5"
top: "inception_4a/5x5"
}
layers {
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
}
}
layers {
name: "inception_4a/pool_proj"
type: CONVOLUTION
bottom: "inception_4a/pool"
top: "inception_4a/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4a/relu_pool_proj"
type: RELU
bottom: "inception_4a/pool_proj"
top: "inception_4a/pool_proj"
}
layers {
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"
}
layers {
name: "inception_4b/1x1"
type: CONVOLUTION
bottom: "inception_4a/output"
top: "inception_4b/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4b/relu_1x1"
type: RELU
bottom: "inception_4b/1x1"
top: "inception_4b/1x1"
}
layers {
name: "inception_4b/3x3_reduce"
type: CONVOLUTION
bottom: "inception_4a/output"
top: "inception_4b/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4b/relu_3x3_reduce"
type: RELU
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3_reduce"
}
layers {
name: "inception_4b/3x3"
type: CONVOLUTION
bottom: "inception_4b/3x3_reduce"
top: "inception_4b/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_4b/relu_3x3"
type: RELU
bottom: "inception_4b/3x3"
top: "inception_4b/3x3"
}
layers {
name: "inception_4b/5x5_reduce"
type: CONVOLUTION
bottom: "inception_4a/output"
top: "inception_4b/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4b/relu_5x5_reduce"
type: RELU
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5_reduce"
}
layers {
name: "inception_4b/5x5"
type: CONVOLUTION
bottom: "inception_4b/5x5_reduce"
top: "inception_4b/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4b/relu_5x5"
type: RELU
bottom: "inception_4b/5x5"
top: "inception_4b/5x5"
}
layers {
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
}
}
layers {
name: "inception_4b/pool_proj"
type: CONVOLUTION
bottom: "inception_4b/pool"
top: "inception_4b/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4b/relu_pool_proj"
type: RELU
bottom: "inception_4b/pool_proj"
top: "inception_4b/pool_proj"
}
layers {
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"
}
layers {
name: "inception_4c/1x1"
type: CONVOLUTION
bottom: "inception_4b/output"
top: "inception_4c/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4c/relu_1x1"
type: RELU
bottom: "inception_4c/1x1"
top: "inception_4c/1x1"
}
layers {
name: "inception_4c/3x3_reduce"
type: CONVOLUTION
bottom: "inception_4b/output"
top: "inception_4c/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4c/relu_3x3_reduce"
type: RELU
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3_reduce"
}
layers {
name: "inception_4c/3x3"
type: CONVOLUTION
bottom: "inception_4c/3x3_reduce"
top: "inception_4c/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_4c/relu_3x3"
type: RELU
bottom: "inception_4c/3x3"
top: "inception_4c/3x3"
}
layers {
name: "inception_4c/5x5_reduce"
type: CONVOLUTION
bottom: "inception_4b/output"
top: "inception_4c/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 24
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4c/relu_5x5_reduce"
type: RELU
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5_reduce"
}
layers {
name: "inception_4c/5x5"
type: CONVOLUTION
bottom: "inception_4c/5x5_reduce"
top: "inception_4c/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4c/relu_5x5"
type: RELU
bottom: "inception_4c/5x5"
top: "inception_4c/5x5"
}
layers {
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
}
}
layers {
name: "inception_4c/pool_proj"
type: CONVOLUTION
bottom: "inception_4c/pool"
top: "inception_4c/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4c/relu_pool_proj"
type: RELU
bottom: "inception_4c/pool_proj"
top: "inception_4c/pool_proj"
}
layers {
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"
}
layers {
name: "inception_4d/1x1"
type: CONVOLUTION
bottom: "inception_4c/output"
top: "inception_4d/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 112
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4d/relu_1x1"
type: RELU
bottom: "inception_4d/1x1"
top: "inception_4d/1x1"
}
layers {
name: "inception_4d/3x3_reduce"
type: CONVOLUTION
bottom: "inception_4c/output"
top: "inception_4d/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 144
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4d/relu_3x3_reduce"
type: RELU
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3_reduce"
}
layers {
name: "inception_4d/3x3"
type: CONVOLUTION
bottom: "inception_4d/3x3_reduce"
top: "inception_4d/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_4d/relu_3x3"
type: RELU
bottom: "inception_4d/3x3"
top: "inception_4d/3x3"
}
layers {
name: "inception_4d/5x5_reduce"
type: CONVOLUTION
bottom: "inception_4c/output"
top: "inception_4d/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4d/relu_5x5_reduce"
type: RELU
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5_reduce"
}
layers {
name: "inception_4d/5x5"
type: CONVOLUTION
bottom: "inception_4d/5x5_reduce"
top: "inception_4d/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_4d/relu_5x5"
type: RELU
bottom: "inception_4d/5x5"
top: "inception_4d/5x5"
}
layers {
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
}
}
layers {
name: "inception_4d/pool_proj"
type: CONVOLUTION
bottom: "inception_4d/pool"
top: "inception_4d/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 64
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4d/relu_pool_proj"
type: RELU
bottom: "inception_4d/pool_proj"
top: "inception_4d/pool_proj"
}
layers {
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"
}
layers {
name: "inception_4e/1x1"
type: CONVOLUTION
bottom: "inception_4d/output"
top: "inception_4e/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4e/relu_1x1"
type: RELU
bottom: "inception_4e/1x1"
top: "inception_4e/1x1"
}
layers {
name: "inception_4e/3x3_reduce"
type: CONVOLUTION
bottom: "inception_4d/output"
top: "inception_4e/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4e/relu_3x3_reduce"
type: RELU
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3_reduce"
}
layers {
name: "inception_4e/3x3"
type: CONVOLUTION
bottom: "inception_4e/3x3_reduce"
top: "inception_4e/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 320
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4e/relu_3x3"
type: RELU
bottom: "inception_4e/3x3"
top: "inception_4e/3x3"
}
layers {
name: "inception_4e/5x5_reduce"
type: CONVOLUTION
bottom: "inception_4d/output"
top: "inception_4e/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4e/relu_5x5_reduce"
type: RELU
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5_reduce"
}
layers {
name: "inception_4e/5x5"
type: CONVOLUTION
bottom: "inception_4e/5x5_reduce"
top: "inception_4e/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_4e/relu_5x5"
type: RELU
bottom: "inception_4e/5x5"
top: "inception_4e/5x5"
}
layers {
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
}
}
layers {
name: "inception_4e/pool_proj"
type: CONVOLUTION
bottom: "inception_4e/pool"
top: "inception_4e/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_4e/relu_pool_proj"
type: RELU
bottom: "inception_4e/pool_proj"
top: "inception_4e/pool_proj"
}
layers {
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"
}
layers {
name: "pool4/3x3_s2"
type: POOLING
bottom: "inception_4e/output"
top: "pool4/3x3_s2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layers {
name: "inception_5a/1x1"
type: CONVOLUTION
bottom: "pool4/3x3_s2"
top: "inception_5a/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 256
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_1x1"
type: RELU
bottom: "inception_5a/1x1"
top: "inception_5a/1x1"
}
layers {
name: "inception_5a/3x3_reduce"
type: CONVOLUTION
bottom: "pool4/3x3_s2"
top: "inception_5a/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 160
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_3x3_reduce"
type: RELU
bottom: "inception_5a/3x3_reduce"
top: "inception_5a/3x3_reduce"
}
layers {
name: "inception_5a/3x3"
type: CONVOLUTION
bottom: "inception_5a/3x3_reduce"
top: "inception_5a/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 320
kernel_size: 3
pad: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_3x3"
type: RELU
bottom: "inception_5a/3x3"
top: "inception_5a/3x3"
}
layers {
name: "inception_5a/5x5_reduce"
type: CONVOLUTION
bottom: "pool4/3x3_s2"
top: "inception_5a/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 32
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_5x5_reduce"
type: RELU
bottom: "inception_5a/5x5_reduce"
top: "inception_5a/5x5_reduce"
}
layers {
name: "inception_5a/5x5"
type: CONVOLUTION
bottom: "inception_5a/5x5_reduce"
top: "inception_5a/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 5
pad: 2
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_5x5"
type: RELU
bottom: "inception_5a/5x5"
top: "inception_5a/5x5"
}
layers {
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
}
}
layers {
name: "inception_5a/pool_proj"
type: CONVOLUTION
bottom: "inception_5a/pool"
top: "inception_5a/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5a/relu_pool_proj"
type: RELU
bottom: "inception_5a/pool_proj"
top: "inception_5a/pool_proj"
}
layers {
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"
}
layers {
name: "inception_5b/1x1"
type: CONVOLUTION
bottom: "inception_5a/output"
top: "inception_5b/1x1"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 384
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.03
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5b/relu_1x1"
type: RELU
bottom: "inception_5b/1x1"
top: "inception_5b/1x1"
}
layers {
name: "inception_5b/3x3_reduce"
type: CONVOLUTION
bottom: "inception_5a/output"
top: "inception_5b/3x3_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 192
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.09
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5b/relu_3x3_reduce"
type: RELU
bottom: "inception_5b/3x3_reduce"
top: "inception_5b/3x3_reduce"
}
layers {
name: "inception_5b/3x3"
type: CONVOLUTION
bottom: "inception_5b/3x3_reduce"
top: "inception_5b/3x3"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_5b/relu_3x3"
type: RELU
bottom: "inception_5b/3x3"
top: "inception_5b/3x3"
}
layers {
name: "inception_5b/5x5_reduce"
type: CONVOLUTION
bottom: "inception_5a/output"
top: "inception_5b/5x5_reduce"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 48
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.2
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5b/relu_5x5_reduce"
type: RELU
bottom: "inception_5b/5x5_reduce"
top: "inception_5b/5x5_reduce"
}
layers {
name: "inception_5b/5x5"
type: CONVOLUTION
bottom: "inception_5b/5x5_reduce"
top: "inception_5b/5x5"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 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
}
}
}
layers {
name: "inception_5b/relu_5x5"
type: RELU
bottom: "inception_5b/5x5"
top: "inception_5b/5x5"
}
layers {
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
}
}
layers {
name: "inception_5b/pool_proj"
type: CONVOLUTION
bottom: "inception_5b/pool"
top: "inception_5b/pool_proj"
blobs_lr: 1
blobs_lr: 2
weight_decay: 1
weight_decay: 0
convolution_param {
num_output: 128
kernel_size: 1
weight_filler {
type: "xavier"
std: 0.1
}
bias_filler {
type: "constant"
value: 0.2
}
}
}
layers {
name: "inception_5b/relu_pool_proj"
type: RELU
bottom: "inception_5b/pool_proj"
top: "inception_5b/pool_proj"
}
layers {
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"
}
layers {
name: "pool5/7x7_s1"
type: POOLING
bottom: "inception_5b/output"
top: "pool5/7x7_s1"
pooling_param {
pool: AVE
kernel_size: 7
stride: 1
}
}
layers {
name: "fc6"
type: INNER_PRODUCT
bottom: "pool5/7x7_s1"
top: "fc6"
inner_product_param {
num_output: 1000
}
}
layers {
name: "fc6/relu"
type: RELU
bottom: "fc6"
top: "fc6"
}