fcn.prototxt~

name: "fcnet"
layers {
  name: "data"
  type: HDF5_DATA
  top: "data"
  top: "label"
  hdf5_data_param {
    source: "/home/ecater/Desktop/caffe/examples/science_bowl/data/aug/data/aug_train.txt"
    batch_size: 128
  }
  include: { phase: TRAIN }
}
layers {
  name: "data"
  type: HDF5_DATA
  top: "data"
  top: "label"
  hdf5_data_param {
    source: "/home/ecater/Desktop/caffe/examples/science_bowl/aug/data/aug_test.txt"
    batch_size: 128
  }
  include: { phase: TEST }
}

layers {
  name: "ip2"
  type: INNER_PRODUCT
  bottom: "data"
  top: "ip2"
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu3"
  type: RELU
  bottom: "ip2"
  top: "ip2"
}
layers {
  name: "drop2"
  type: DROPOUT
  bottom: "ip2"
  top: "ip2"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  name: "ip3"
  type: INNER_PRODUCT
  bottom: "ip2"
  top: "ip3"
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 121
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "accuracy"
  type: ACCURACY
  bottom: "ip3"
  bottom: "label"
  top: "accuracy"
  include: { phase: TEST }
}
layers {
  name: "loss"
  type: SOFTMAX_LOSS
  bottom: "ip3"
  bottom: "label"
  top: "loss"
}