name: "100.122"
input: "data"
input_dim: 1
input_dim: 3
input_dim: 12
input_dim: 12
layers {
  bottom: "data"
  top: "conv1"
  name: "conv1"
  type: CONVOLUTION
  convolution_param {
    num_output: 16
    pad: 0
    kernel_size: 3
    group: 1
    stride: 1
    weight_filler {
      type: "gaussian"
      std: 0.0001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "conv1"
  top: "pool1"
  name: "pool1"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}
layers {
  bottom: "pool1"
  top: "pool1"
  name: "pool1_neuron"
  type: RELU
}
layers {
  bottom: "pool1"
  top: "fc4"
  name: "fc4"
  type: INNER_PRODUCT
  inner_product_param {
    num_output: 16
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fc4"
  top: "fc4"
  name: "fc4_neuron"
  type: RELU
}
layers {
  bottom: "fc4"
  top: "fcf"
  name: "fcf"
  type: INNER_PRODUCT
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}
layers {
  bottom: "fcf"
  top: "probs"
  name: "probs"
  type: SOFTMAX
}
