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June 28, 2017 08:18
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example network for #5173 (caffe)
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input: "data" | |
input_shape { | |
dim: 1 | |
dim: 1 | |
dim: 350 | |
dim: 576 | |
} | |
layer { | |
name: "bilinear3" | |
type: "Deconvolution" | |
bottom: "data" | |
top: "bilinear3" | |
convolution_param { | |
num_output: 1 | |
bias_term: false | |
kernel_size: 3 | |
weight_filler { | |
type: "bilinear" | |
} | |
} | |
} | |
layer { | |
name: "bilinear6" | |
type: "Deconvolution" | |
bottom: "data" | |
top: "bilinear6" | |
convolution_param { | |
num_output: 1 | |
bias_term: false | |
kernel_size: 6 | |
weight_filler { | |
type: "bilinear" | |
} | |
} | |
} | |
layer { | |
name: "bilinear7" | |
type: "Deconvolution" | |
bottom: "data" | |
top: "bilinear7" | |
convolution_param { | |
num_output: 1 | |
bias_term: false | |
kernel_size: 7 | |
weight_filler { | |
type: "bilinear" | |
} | |
} | |
} | |
layer { | |
name: "bilinear10" | |
type: "Deconvolution" | |
bottom: "data" | |
top: "bilinear10" | |
convolution_param { | |
num_output: 1 | |
bias_term: false | |
kernel_size: 10 | |
weight_filler { | |
type: "bilinear" | |
} | |
} | |
} |
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