| name: "convolution" | |
| layer { | |
| name: "data" | |
| type: "Input" | |
| top: "data" | |
| input_param { shape: { dim: 1 dim: 1 dim: 100 dim: 100 } } | |
| } | |
| layer { | |
| name: "conv" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv" | |
| convolution_param { | |
| num_output: 3 | |
| kernel_size: 5 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |