зеркало из https://github.com/microsoft/caffe.git
119 строки
1.6 KiB
Plaintext
119 строки
1.6 KiB
Plaintext
name: "LeNet"
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layers {
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name: "mnist"
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type: DATA
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top: "data"
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top: "label"
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data_param {
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source: "mnist-train-leveldb"
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scale: 0.00390625
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batch_size: 64
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}
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}
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layers {
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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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blobs_lr: 1
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blobs_lr: 2
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convolution_param {
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num_output: 20
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kernel_size: 5
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stride: 1
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weight_filler {
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type: "xavier"
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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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layers {
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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: 2
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stride: 2
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}
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}
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layers {
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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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blobs_lr: 1
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blobs_lr: 2
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convolution_param {
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num_output: 50
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kernel_size: 5
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stride: 1
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weight_filler {
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type: "xavier"
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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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layers {
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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: MAX
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kernel_size: 2
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stride: 2
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}
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}
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layers {
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name: "ip1"
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type: INNER_PRODUCT
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bottom: "pool2"
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top: "ip1"
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blobs_lr: 1
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blobs_lr: 2
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inner_product_param {
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num_output: 500
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weight_filler {
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type: "xavier"
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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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layers {
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name: "relu1"
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type: RELU
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bottom: "ip1"
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top: "ip1"
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}
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layers {
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name: "ip2"
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type: INNER_PRODUCT
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bottom: "ip1"
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top: "ip2"
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blobs_lr: 1
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blobs_lr: 2
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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: "xavier"
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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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layers {
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name: "loss"
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type: SOFTMAX_LOSS
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bottom: "ip2"
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bottom: "label"
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}
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