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@Noiredd
Last active June 28, 2017 08:18
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example network for #5173 (caffe)
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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