| # From caffe repository |
| # Commits on Feb 6, 2015 |
| |
| 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" |
| } |