name: "3d_triplet" input: "data" input_dim: 1 input_dim: 1 input_dim: 64 input_dim: 64 layer { name: "conv1" type: "Convolution" bottom: "data" top: "conv1" convolution_param { num_output: 16 kernel_size: 8 stride: 1 } } layer { name: "pool1" type: "Pooling" bottom: "conv1" top: "pool1" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "relu1" type: "ReLU" bottom: "pool1" top: "pool1" } layer { name: "conv2" type: "Convolution" bottom: "pool1" top: "conv2" convolution_param { num_output: 7 kernel_size: 5 stride: 1 } } layer { name: "pool2" type: "Pooling" bottom: "conv2" top: "pool2" pooling_param { pool: MAX kernel_size: 2 stride: 2 } } layer { name: "relu2" type: "ReLU" bottom: "pool2" top: "pool2" } layer { name: "ip1" type: "InnerProduct" bottom: "pool2" top: "ip1" inner_product_param { num_output: 256 } } layer { name: "relu3" type: "ReLU" bottom: "ip1" top: "ip1" } layer { name: "feat" type: "InnerProduct" bottom: "ip1" top: "feat" inner_product_param { num_output: 3 } }