CASIA_deploy.prototxt

name: "mnist_siamese_train_test"
input: "data"
input_dim: 100
input_dim: 1
input_dim: 100
input_dim: 100
layer {
  name: "conv11"
  type: "Convolution"
  bottom: "data"
  top: "conv11"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv11_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv11_b"
  }
  convolution_param {
    num_output: 32
    kernel_size: 3
    stride: 1
    weight_filler {
      type: "msra"
	  alpha: 0.25
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu11"
  type: "Insanity"
  bottom: "conv11"
  top: "conv11"
  insanity_param{
    lb: 3
	ub: 5
  }
}
layer {
  name: "conv12"
  type: "Convolution"
  bottom: "conv11"
  top: "conv12"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv12_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv12_b"
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.25
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu12"
  type: "Insanity"
  bottom: "conv12"
  top: "conv12"
  insanity_param{
    lb: 3
	ub: 5
  }
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv12"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv21"
  type: "Convolution"
  bottom: "pool1"
  top: "conv21"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv21_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv21_b"
  }
  convolution_param {
    num_output: 64
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.2
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu21"
  type: "Insanity"
  bottom: "conv21"
  top: "conv21"
  insanity_param{
    lb: 3
	ub: 8
  }
}
layer {
  name: "conv22"
  type: "Convolution"
  bottom: "conv21"
  top: "conv22"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv22_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv22_b"
  }
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.2
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu22"
  type: "Insanity"
  bottom: "conv22"
  top: "conv22"
  insanity_param{
    lb: 3
	ub: 8
  }
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv22"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv31"
  type: "Convolution"
  bottom: "pool2"
  top: "conv31"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv31_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv31_b"
  }
  convolution_param {
    num_output: 96
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.2
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu31"
  type: "Insanity"
  bottom: "conv31"
  top: "conv31"
  insanity_param{
    lb: 3
	ub: 8
  }
}
layer {
  name: "conv32"
  type: "Convolution"
  bottom: "conv31"
  top: "conv32"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv32_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv32_b"
  }
  convolution_param {
    num_output: 192
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.2
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu32"
  type: "Insanity"
  bottom: "conv32"
  top: "conv32"
  insanity_param{
    lb: 3
	ub: 8
  }
}
layer {
  name: "pool3"
  type: "Pooling"
  bottom: "conv32"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv41"
  type: "Convolution"
  bottom: "pool3"
  top: "conv41"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv41_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv41_b"
  }
  convolution_param {
    num_output: 128
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.1386
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu41"
  type: "Insanity"
  bottom: "conv41"
  top: "conv41"
  insanity_param{
    lb: 5
	ub: 10
  }
}
layer {
  name: "conv42"
  type: "Convolution"
  bottom: "conv41"
  top: "conv42"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv42_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv42_b"
  }
  convolution_param {
    num_output: 256
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.1386
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu42"
  type: "Insanity"
  bottom: "conv42"
  top: "conv42"
  insanity_param{
    lb: 5
	ub: 10
  }
}
layer {
  name: "pool4"
  type: "Pooling"
  bottom: "conv42"
  top: "pool4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv51"
  type: "Convolution"
  bottom: "pool4"
  top: "conv51"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv51_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv51_b"
  }
  convolution_param {
    num_output: 160
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
	  alpha: 0.1386
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu51"
  type: "Insanity"
  bottom: "conv51"
  top: "conv51"
  insanity_param{
    lb: 5
	ub: 10
  }
}
layer {
  name: "conv52"
  type: "Convolution"
  bottom: "conv51"
  top: "conv52"
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv52_w"
  }
  param {
    lr_mult: 1
	decay_mult: 0
	name: "conv52_b"
  }
  convolution_param {
    num_output: 320
    kernel_size: 3
    stride: 1
	pad: 1
    weight_filler {
      type: "msra"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu52"
  type: "ReLU"
  bottom: "conv52"
  top: "conv52"
}
layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv52"
  top: "pool5"
  pooling_param {
    pool: AVE
    kernel_size: 7
    stride: 1
  }
}
layer {
  name: "drop5"
  type: "Dropout"
  bottom: "pool5"
  top: "drop5"
  dropout_param {
    dropout_ratio: 0.5
  }
}