Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- name: "AlexNet"
- layer {
- name: "data"
- type: "Data"
- top: "data"
- top: "label"
- include {
- phase: TRAIN
- }
- transform_param {
- mirror: true
- crop_size: 227
- mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"
- }
- data_param {
- source: "examples/imagenet/ilsvrc12_train_lmdb"
- batch_size: 256
- backend: LMDB
- }
- }
- layer {
- name: "data"
- type: "Data"
- top: "data"
- top: "label"
- include {
- phase: TEST
- }
- transform_param {
- mirror: false
- crop_size: 227
- mean_file: "data/ilsvrc12/imagenet_mean.binaryproto"
- }
- data_param {
- source: "examples/imagenet/ilsvrc12_val_lmdb"
- batch_size: 50
- backend: LMDB
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- value: 0
- }
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- value: 0.1
- }
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- value: 0
- }
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- value: 0.1
- }
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- value: 0.1
- }
- }
- }
- 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
- weight_filler {
- type: "gaussian"
- std: 0.005
- }
- bias_filler {
- type: "constant"
- value: 0.1
- }
- }
- }
- 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: "gaussian"
- std: 0.005
- }
- bias_filler {
- type: "constant"
- value: 0.1
- }
- }
- }
- 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: "accuracy"
- type: "Accuracy"
- bottom: "fc8"
- bottom: "label"
- top: "accuracy"
- include {
- phase: TEST
- }
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "fc8"
- bottom: "label"
- top: "loss"
- }
Add Comment
Please, Sign In to add comment