-
Notifications
You must be signed in to change notification settings - Fork 1.6k
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #271 from ludv1x:dnn
- Loading branch information
Showing
33 changed files
with
3,030 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,276 @@ | ||
| name: "AlexNet" | ||
| input: "data" | ||
| input_dim: 10 | ||
| 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 | ||
| kernel_size: 11 | ||
| stride: 4 | ||
| } | ||
| } | ||
| layer { | ||
| name: "relu1" | ||
| type: "ReLU" | ||
| bottom: "conv1" | ||
| top: "conv1" | ||
| } | ||
| layer { | ||
| name: "norm1" | ||
| type: "LRN" | ||
| bottom: "conv1" | ||
| top: "norm1" | ||
| lrn_param { | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| } | ||
| layer { | ||
| name: "pool1" | ||
| type: "Pooling" | ||
| bottom: "norm1" | ||
| 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 | ||
| group: 2 | ||
| } | ||
| } | ||
| layer { | ||
| name: "relu2" | ||
| type: "ReLU" | ||
| bottom: "conv2" | ||
| top: "conv2" | ||
| } | ||
| layer { | ||
| name: "norm2" | ||
| type: "LRN" | ||
| bottom: "conv2" | ||
| top: "norm2" | ||
| lrn_param { | ||
| local_size: 5 | ||
| alpha: 0.0001 | ||
| beta: 0.75 | ||
| } | ||
| } | ||
| layer { | ||
| name: "pool2" | ||
| type: "Pooling" | ||
| bottom: "norm2" | ||
| 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 | ||
| } | ||
| } | ||
| layer { | ||
| name: "relu3" | ||
| 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 | ||
| group: 2 | ||
| } | ||
| } | ||
| layer { | ||
| name: "relu4" | ||
| 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 | ||
| group: 2 | ||
| } | ||
| } | ||
| layer { | ||
| name: "relu5" | ||
| 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 | ||
| } | ||
| } | ||
| 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 | ||
| } | ||
| } | ||
| 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 | ||
| } | ||
| } | ||
| layer { | ||
| name: "prob" | ||
| type: "Softmax" | ||
| bottom: "fc8" | ||
| top: "prob" | ||
| } |
Oops, something went wrong.