name: "gtsrb"
input: "input"
input_dim: 1
input_dim: 3
input_dim: 48
input_dim: 48

layers {
  bottom: "input"
  top: "layer1"
  name: "layer1"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 100
    kernel_size: 7
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "tanh1"
  bottom: "layer1"
  top: "layer1"
  type: TANH
}
layers {
  bottom: "layer1"
  top: "layer2"
  name: "layer2"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layers {
  bottom: "layer2"
  top: "layer3"
  name: "layer3"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 150
    kernel_size: 4
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "tanh3"
  bottom: "layer3"
  top: "layer3"
  type: TANH
}
layers {
  bottom: "layer3"
  top: "layer4"
  name: "layer4"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layers {
  bottom: "layer4"
  top: "layer5"
  name: "layer5"
  type: CONVOLUTION
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 250
    kernel_size: 4
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "tanh5"
  bottom: "layer5"
  top: "layer5"
  type: TANH
}
layers {
  bottom: "layer5"
  top: "layer6"
  name: "layer6"
  type: POOLING
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layers {
  bottom: "layer6"
  top: "layer7"
  name: "layer7"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 300
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "tanh7"
  bottom: "layer7"
  top: "layer7"
  type: TANH
}

layers {
  bottom: "layer7"
  top: "layer8"
  name: "layer8"
  type: INNER_PRODUCT
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 43
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layers {
  name: "loss"
  top: "loss"
  bottom: "layer8"
  type: SOFTMAX
}