name: "t15"

input: "depth"
input_shape {
  dim: 1
  dim: 1
  dim: 128
  dim: 128
}



layer {
  name: "convL1"
  type: "Convolution"
  bottom: "depth"
  top: "convL1"
  convolution_param {
    num_output: 16	
    kernel_size: 5
	pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "poolL1"
  type: "Pooling"
  bottom: "convL1"
  top: "poolL1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}


layer {
  name: "ReLUconvL1"
  type: "ReLU"
  bottom: "poolL1"
  top: "poolL1"
}



layer {
  name: "convL2"
  type: "Convolution"
  bottom: "poolL1"
  top: "convL2"
  convolution_param {
    num_output: 32
    kernel_size: 5
	pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "poolL2"
  type: "Pooling"
  bottom: "convL2"
  top: "poolL2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}


layer {
  name: "ReLUconvL2"
  type: "ReLU"
  bottom: "poolL2"
  top: "poolL2"
}




layer {
  name: "convL3"
  type: "Convolution"
  bottom: "poolL2"
  top: "convL3"
  convolution_param {
    num_output: 64
    kernel_size: 5
	pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "poolL3"
  type: "Pooling"
  bottom: "convL3"
  top: "poolL3"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}


layer {
  name: "ReLUconvL3"
  type: "ReLU"
  bottom: "poolL3"
  top: "poolL3"
}


layer {
  name: "convL4"
  type: "Convolution"
  bottom: "poolL3"
  top: "convL4"
  convolution_param {
    num_output: 128
    kernel_size: 5
	pad: 2
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}

layer {
  name: "poolL4"
  type: "Pooling"
  bottom: "convL4"
  top: "poolL4"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}


layer {
  name: "ReLUconvL4"
  type: "ReLU"
  bottom: "poolL4"
  top: "poolL4"
}



layer {
  name: "convL5"
  type: "Convolution"
  bottom: "poolL4"
  top: "convL5"
  convolution_param {
    num_output: 256
    kernel_size: 4
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}


layer {
  name: "ReLUconvL5"
  type: "ReLU"
  bottom: "convL5"
  top: "convL5"
}



layer {
  name: "FC1"
  type: "InnerProduct"
  bottom: "convL5"
  top: "FC1"
  param {
    lr_mult: 1
  }
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "constant"
    }
  }
}



layer {
  name: "ReLUFC1"
  type: "ReLU"
  bottom: "FC1"
  top: "FC1"
}

layer {
  name: "FC2"
  type: "InnerProduct"
  bottom: "FC1"
  top: "FC2"
  param {
    lr_mult: 1
  }
  inner_product_param {
    num_output: 512
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
    }
  }
}


layer {
  name: "ReLUFC2"
  type: "ReLU"
  bottom: "FC2"
  top: "FC2"
}


layer {
  name: "JointOUT"
  type: "InnerProduct"
  bottom: "FC2"
  top: "JointOUT"
  param {
    lr_mult: 1
  }
  inner_product_param {
    num_output: 63
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
    }
  }
}