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199 lines
2.6 KiB
199 lines
2.6 KiB
name: "mnist/cifar"
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input: "data"
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input_dim: 128
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input_dim: 3
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input_dim: 32
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input_dim: 32
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input: "label"
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input_dim: 128
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input_dim: 1
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input_dim: 1
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input_dim: 1
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layer {
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name: "conv1"
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type: "Convolution"
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bottom: "data"
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top: "conv1"
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param {
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lr_mult: 1
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}
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param {
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lr_mult: 2
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}
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convolution_param {
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num_output: 32
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pad: 2
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kernel_size: 5
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stride: 1
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weight_filler {
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type: "gaussian"
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std: 0.0001
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}
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bias_filler {
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type: "constant"
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}
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}
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}
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layer {
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name: "pool1"
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type: "Pooling"
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bottom: "conv1"
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top: "pool1"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "relu1"
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type: "ReLU"
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bottom: "pool1"
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top: "pool1"
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}
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layer {
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name: "conv2"
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type: "Convolution"
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bottom: "pool1"
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top: "conv2"
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param {
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lr_mult: 1
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}
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param {
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lr_mult: 2
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}
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convolution_param {
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num_output: 32
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pad: 2
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kernel_size: 5
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stride: 1
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weight_filler {
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type: "gaussian"
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std: 0.01
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}
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bias_filler {
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type: "constant"
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}
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}
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}
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layer {
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name: "relu2"
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type: "ReLU"
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bottom: "conv2"
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top: "conv2"
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}
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layer {
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name: "pool2"
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type: "Pooling"
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bottom: "conv2"
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top: "pool2"
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pooling_param {
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pool: AVE
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "conv3"
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type: "Convolution"
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bottom: "pool2"
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top: "conv3"
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param {
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lr_mult: 1
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}
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param {
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lr_mult: 2
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}
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convolution_param {
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num_output: 64
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pad: 2
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kernel_size: 5
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stride: 1
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weight_filler {
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type: "gaussian"
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std: 0.01
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}
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bias_filler {
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type: "constant"
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}
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}
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}
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layer {
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name: "relu3"
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type: "ReLU"
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bottom: "conv3"
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top: "conv3"
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}
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layer {
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name: "pool3"
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type: "Pooling"
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bottom: "conv3"
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top: "pool3"
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pooling_param {
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pool: AVE
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "ip1"
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type: "InnerProduct"
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bottom: "pool3"
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top: "ip1"
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param {
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lr_mult: 1
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}
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param {
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lr_mult: 2
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}
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inner_product_param {
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num_output: 64
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weight_filler {
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type: "gaussian"
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std: 0.1
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}
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bias_filler {
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type: "constant"
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}
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}
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}
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layer {
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name: "ip2"
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type: "InnerProduct"
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bottom: "ip1"
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top: "ip2"
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param {
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lr_mult: 1
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}
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param {
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lr_mult: 2
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}
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inner_product_param {
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num_output: 10
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weight_filler {
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type: "gaussian"
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std: 0.1
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}
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bias_filler {
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type: "constant"
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}
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}
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}
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layer {
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name: "accuracy"
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type: "Accuracy"
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bottom: "ip2"
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bottom: "label"
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top: "accuracy"
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include {
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phase: TEST
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}
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}
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layer {
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name: "loss"
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type: "SoftmaxWithLoss"
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bottom: "ip2"
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bottom: "label"
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top: "loss"
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}
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