input: "data"
input_shape {
  dim: 1
  dim: 6
  dim: 512
  dim: 512
}

layer {
  name: "Convolution1"
  type: "Convolution"
  bottom: "data"
  top: "Convolution1"
  convolution_param {
    num_output: 30
    bias_term: false
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
  }
}
layer {
  name: "score"
  type: "Convolution"
  bottom: "Convolution1"
  top: "score"
  convolution_param {
    num_output: 5
    bias_term: true
    pad: 0
    kernel_size: 1
    stride: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "prob"
  type: "Softmax"
  bottom: "score"
  top: "prob"
}