mnist_siamese_train_test.prototxt

layer {
  name: "scale"
  type: "Power"
  bottom: "data"
  top: "scale"
  power_param {
    scale: 0.0125000001863
  }
}
layer {
  name: "slice_triplet"
  type: "Slice"
  bottom: "scale"
  top: "data_left"
  top: "data_right"
  top: "data_discard"
  slice_param {
    slice_dim: 1
  }
}
layer {
  name: "conv1_left"
  type: "Convolution"
  bottom: "data_left"
  top: "conv1_left"
  param {
    name: "conv1_w"
    lr_mult: 1.0
  }
  param {
    name: "conv1_b"
    lr_mult: 2.0
  }
  convolution_param {
    num_output: 20
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool1_left"
  type: "Pooling"
  bottom: "conv1_left"
  top: "pool1_left"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_left"
  type: "Convolution"
  bottom: "pool1_left"
  top: "conv2_left"
  param {
    name: "conv2_w"
    lr_mult: 1.0
  }
  param {
    name: "conv2_b"
    lr_mult: 2.0
  }
  convolution_param {
    num_output: 50
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool2_left"
  type: "Pooling"
  bottom: "conv2_left"
  top: "pool2_left"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ip1_left"
  type: "InnerProduct"
  bottom: "pool2_left"
  top: "ip1_left"
  param {
    name: "ip1_w"
    lr_mult: 1.0
  }
  param {
    name: "ip1_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 500
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu1"
  type: "ReLU"
  bottom: "ip1_left"
  top: "ip1_left"
}
layer {
  name: "ip2_left"
  type: "InnerProduct"
  bottom: "ip1_left"
  top: "ip2_left"
  param {
    name: "ip2_w"
    lr_mult: 1.0
  }
  param {
    name: "ip2_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 10
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "feat_left"
  type: "InnerProduct"
  bottom: "ip2_left"
  top: "feat_left"
  param {
    name: "feat_w"
    lr_mult: 1.0
  }
  param {
    name: "feat_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "conv1_right"
  type: "Convolution"
  bottom: "data_right"
  top: "conv1_right"
  param {
    name: "conv1_w"
    lr_mult: 1.0
  }
  param {
    name: "conv1_b"
    lr_mult: 2.0
  }
  convolution_param {
    num_output: 20
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool1_right"
  type: "Pooling"
  bottom: "conv1_right"
  top: "pool1_right"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "conv2_right"
  type: "Convolution"
  bottom: "pool1_right"
  top: "conv2_right"
  param {
    name: "conv2_w"
    lr_mult: 1.0
  }
  param {
    name: "conv2_b"
    lr_mult: 2.0
  }
  convolution_param {
    num_output: 50
    kernel_size: 5
    stride: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "pool2_right"
  type: "Pooling"
  bottom: "conv2_right"
  top: "pool2_right"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layer {
  name: "ip1_right"
  type: "InnerProduct"
  bottom: "pool2_right"
  top: "ip1_right"
  param {
    name: "ip1_w"
    lr_mult: 1.0
  }
  param {
    name: "ip1_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 500
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "relu1_right"
  type: "ReLU"
  bottom: "ip1_right"
  top: "ip1_right"
}
layer {
  name: "ip2_right"
  type: "InnerProduct"
  bottom: "ip1_right"
  top: "ip2_right"
  param {
    name: "ip2_w"
    lr_mult: 1.0
  }
  param {
    name: "ip2_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 10
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "feat_right"
  type: "InnerProduct"
  bottom: "ip2_right"
  top: "feat_right"
  param {
    name: "feat_w"
    lr_mult: 1.0
  }
  param {
    name: "feat_b"
    lr_mult: 2.0
  }
  inner_product_param {
    num_output: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "discard"
  type: "Silence"
  bottom: "data_discard"
}
layer {
  name: "loss"
  type: "ContrastiveLoss"
  bottom: "feat_left"
  bottom: "feat_right"
  bottom: "label"
  top: "loss"
  contrastive_loss_param {
    margin: 1.0
  }
  exclude { stage: "deploy" }
}