Created
January 19, 2015 14:03
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maxout layer implementation for caffe library
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layers { | |
name: "conv1A" | |
type: CONVOLUTION | |
bottom: "data" | |
top: "conv1A" | |
blobs_lr: 1 | |
blobs_lr: 2 | |
weight_decay: 1 | |
weight_decay: 0 | |
convolution_param { | |
num_output: 48 | |
kernel_size: 9 | |
stride: 1 | |
} | |
} | |
layers { | |
name: "conv1B" | |
type: CONVOLUTION | |
bottom: "data" | |
top: "conv1B" | |
blobs_lr: 1 | |
blobs_lr: 2 | |
weight_decay: 1 | |
weight_decay: 0 | |
convolution_param { | |
num_output: 48 | |
kernel_size: 9 | |
stride: 1 | |
} | |
} | |
layers { | |
name: "maxout1" | |
type: ELTWISE | |
bottom: "conv1A" | |
bottom: "conv1B" | |
top: "maxout1" | |
eltwise_param { | |
operation:MAX | |
} | |
} |
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