cnn captcha

network_captchas_with_3_convolutional_layers_train.prototxt

name: "Captcha Recognition"
layers {
  name: "labeled captcha image"
  type: DATA
  top: "data"
  top: "label"
  data_param {
    source: "temp/train.db"
    backend: LEVELDB
    batch_size: 64
  }
  transform_param {
    scale: 0.00390625
  }
  include: { phase: TRAIN }
}
layers {
  name: "conv1"
  type: CONVOLUTION
  bottom: "data"
  top: "conv1"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 48
    kernel_size: 5
    stride: 2
    pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "pool1"
  type: POOLING
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layers {
  name: "relu1"
  type: RELU
  bottom: "pool1"
  top: "pool1"
}
layers {
  name: "drop1"
  type: DROPOUT
  bottom: "pool1"
  top: "pool1"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  name: "conv2"
  type: CONVOLUTION
  bottom: "pool1"
  top: "conv2"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 64
    kernel_size: 5
    stride: 1
    pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "pool2"
  type: POOLING
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 1
  }
}
layers {
  name: "relu2"
  type: RELU
  bottom: "pool2"
  top: "pool2"
}
layers {
  name: "drop2"
  type: DROPOUT
  bottom: "pool2"
  top: "pool2"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  name: "conv3"
  type: CONVOLUTION
  bottom: "pool2"
  top: "conv3"
  blobs_lr: 1
  blobs_lr: 2
  convolution_param {
    num_output: 128
    kernel_size: 5
    stride: 1
    pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "pool3"
  type: POOLING
  bottom: "conv3"
  top: "pool3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}
layers {
  name: "relu3"
  type: RELU
  bottom: "pool3"
  top: "pool3"
}
layers {
  name: "drop3"
  type: DROPOUT
  bottom: "pool3"
  top: "pool3"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  bottom: "pool3"
  top: "ip1"
  name: "ip1"
  type: INNER_PRODUCT    
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 3072
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "relu4"
  type: RELU
  bottom: "ip1"
  top: "ip1"
}
layers {
  name: "drop4"
  type: DROPOUT
  bottom: "ip1"
  top: "ip1"
  dropout_param {
    dropout_ratio: 0.5
  }
}
layers {
  name: "ip2"
  type: INNER_PRODUCT
  bottom: "ip1"
  top: "ip2"
  blobs_lr: 1
  blobs_lr: 2
  inner_product_param {
    num_output: 378
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}
layers {
  name: "loss"
  type: SOFTMAX_LOSS
  bottom: "ip2"
  bottom: "label"
  top: "loss"
}