Caffe Layer Library及理解

Convolution layer  

# convolution
layer {
  name: "loss1/conv"
  type: "Convolution"
  bottom: "loss1/ave_pool"
  top: "loss1/conv"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    stride:1 # default: stride=1
    pad: 1
    weight_filler {
      # xavier type
      type: "xavier"

      # gaussian type
      #type: "gaussian"
      #std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0.2
    }
  }
}# convolution
laye