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- name: "CIFAR10_full"
- layer {
- name: "cifar"
- type: "Data"
- top: "data"
- top: "label"
- include {
- phase: TRAIN
- }
- transform_param {
- mean_file: "examples/cifar10/mean.binaryproto"
- }
- data_param {
- source: "examples/cifar10/cifar10_train_lmdb"
- batch_size: 100
- backend: LMDB
- }
- }
- layer {
- name: "cifar"
- type: "Data"
- top: "data"
- top: "label"
- include {
- phase: TEST
- }
- transform_param {
- mean_file: "examples/cifar10/mean.binaryproto"
- }
- data_param {
- source: "examples/cifar10/cifar10_test_lmdb"
- batch_size: 100
- backend: LMDB
- }
- }
- layer {
- name: "conv1"
- type: "Convolution"
- bottom: "data"
- top: "conv1"
- param {
- lr_mult: 1
- }
- param {
- lr_mult: 2
- }
- convolution_param {
- num_output: 32
- pad: 2
- kernel_size: 5
- stride: 1
- weight_filler {
- type: "gaussian"
- std: 0.0001
- }
- bias_filler {
- type: "constant"
- }
- }
- }
- layer {
- name: "pool1"
- type: "Pooling"
- bottom: "conv1"
- top: "pool1"
- pooling_param {
- pool: MAX
- kernel_size: 3
- stride: 2
- }
- }
- layer {
- name: "relu1"
- type: "ReLU"
- bottom: "pool1"
- top: "pool1"
- }
- layer {
- name: "norm1"
- type: "LRN"
- bottom: "pool1"
- top: "norm1"
- lrn_param {
- local_size: 3
- alpha: 5e-05
- beta: 0.75
- norm_region: WITHIN_CHANNEL
- }
- }
- layer {
- name: "conv2"
- type: "Convolution"
- bottom: "norm1"
- top: "conv2"
- param {
- lr_mult: 1
- }
- param {
- lr_mult: 2
- }
- convolution_param {
- num_output: 32
- pad: 2
- kernel_size: 5
- stride: 1
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- }
- }
- }
- layer {
- name: "relu2"
- type: "ReLU"
- bottom: "conv2"
- top: "conv2"
- }
- layer {
- name: "pool2"
- type: "Pooling"
- bottom: "conv2"
- top: "pool2"
- pooling_param {
- pool: AVE
- kernel_size: 3
- stride: 2
- }
- }
- layer {
- name: "norm2"
- type: "LRN"
- bottom: "pool2"
- top: "norm2"
- lrn_param {
- local_size: 3
- alpha: 5e-05
- beta: 0.75
- norm_region: WITHIN_CHANNEL
- }
- }
- layer {
- name: "conv3"
- type: "Convolution"
- bottom: "norm2"
- top: "conv3"
- convolution_param {
- num_output: 64
- pad: 2
- kernel_size: 5
- stride: 1
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- }
- }
- }
- layer {
- name: "relu3"
- type: "ReLU"
- bottom: "conv3"
- top: "conv3"
- }
- layer {
- name: "pool3"
- type: "Pooling"
- bottom: "conv3"
- top: "pool3"
- pooling_param {
- pool: AVE
- kernel_size: 3
- stride: 2
- }
- }
- layer {
- name: "ip1"
- type: "InnerProduct"
- bottom: "pool3"
- top: "ip1"
- param {
- lr_mult: 1
- decay_mult: 250
- }
- param {
- lr_mult: 2
- decay_mult: 0
- }
- inner_product_param {
- num_output: 10
- weight_filler {
- type: "gaussian"
- std: 0.01
- }
- bias_filler {
- type: "constant"
- }
- }
- }
- layer {
- name: "accuracy"
- type: "Accuracy"
- bottom: "ip1"
- bottom: "label"
- top: "accuracy"
- include {
- phase: TEST
- }
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "ip1"
- bottom: "label"
- top: "loss"
- }
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