deploy.prototxt

name: "deployed 2 convs 1 fc (2048)"
input: "data"
input_dim: 1
input_dim: 1
input_dim: 96
input_dim: 96


layers {
  name: "conv0"
  type: CONVOLUTION
  bottom: "data"
  top: "conv0"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 32
    kernel_size: 7
    stride: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu0"
  type: RELU
  bottom: "conv0"
  top: "conv0"
}
layers {
  name: "conv1"
  type: CONVOLUTION
  bottom: "conv0"
  top: "conv1"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 32
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu1"
  type: RELU
  bottom: "conv1"
  top: "conv1"
}

layers {
  name: "pool0"
  type: POOLING
  bottom: "conv1"
  top: "pool0"
  pooling_param {
    pool: MAX
    kernel_size: 3
    stride: 2
  }
}



layers {
  name: "conv3"
  type: CONVOLUTION
  bottom: "pool0"
  top: "conv3"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu3"
  type: RELU
  bottom: "conv3"
  top: "conv3"
}
layers {
  name: "conv4"
  type: CONVOLUTION
  bottom: "conv3"
  top: "conv4"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu4"
  type: RELU
  bottom: "conv4"
  top: "conv4"
}
layers {
  name: "conv5"
  type: CONVOLUTION
  bottom: "conv4"
  top: "conv5"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu5"
  type: RELU
  bottom: "conv5"
  top: "conv5"
}
layers {
  name: "pool1"
  type: POOLING
  bottom: "conv5"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}



layers {
  name: "conv6"
  type: CONVOLUTION
  bottom: "pool1"
  top: "conv6"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu6"
  type: RELU
  bottom: "conv6"
  top: "conv6"
}
layers {
  name: "conv7"
  type: CONVOLUTION
  bottom: "conv6"
  top: "conv7"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu7"
  type: RELU
  bottom: "conv7"
  top: "conv7"
}
layers {
  name: "conv8"
  type: CONVOLUTION
  bottom: "conv7"
  top: "conv8"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu8"
  type: RELU
  bottom: "conv8"
  top: "conv8"
}

layers {
  name: "pool2"
  type: POOLING
  bottom: "conv8"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layers {
  name: "ip1"
  type: INNER_PRODUCT
  bottom: "pool2"
  top: "ip1"
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 4096
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu1"
  type: RELU
  bottom: "ip1"
  top: "ip1"
}
layers {
  name: "drop7"
  type: DROPOUT
  bottom: "ip1"
  top: "ip1"
  dropout_param {
    dropout_ratio: 0.5
  }
}

layers {
  name: "ip3"
  type: INNER_PRODUCT
  bottom: "ip1"
  top: "ip3"
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 121
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "prob"
  type: SOFTMAX
  bottom: "ip3"
  top: "prob"
}