Example Caffe layers

example.prototxt

# 1.
# Flip the label values. Change 0's to 1's and viceversa.
# PowerLayer computes outputs y = (shift + scale * x) ^ power
layer {
  name: "flip_label"
  type: "Power"            
  bottom: "label"
  top: "flip_label"
  power_param {
    power: 1
    scale: -1
    shift: 1
  }
}

# 2.
# Slice input blob.
layer {
  name: "slice_blob"
  type: "Slice"
  bottom: "myblob"
  top: "left_blob"
  top: "right_blob"
  slice_param {
    axis: 1
    slice_point: 1
  }
}

# 3.
# If "bot" is a two channeled blob, it converts the two numbers per location into probabilities with SoftMax.
layer { 
  name: "prob"
  type: "Softmax"
  bottom: "bot"
  top: "prob"
  softmax_param {engine: CAFFE}
}

# 4.
# Obtain predictions with ArgMax. Gives channel indices with max probability.
layer { 
  name: "prediction"
  type: "ArgMax"
  bottom: "prob"
  top: "pred"
  argmax_param {
    axis: 1
    top_k: 1
  }
}

# 5.
# Reduce a blob to a single number by doing an operation (here, sum).
layer {
  name: "reduce"
  type: "Reduction"
  bottom: "bot"
  top: "top"
  reduction_param {
    axis: 0
    operation: SUM
  }
}