myNetParam.proto

# The Net 
# The train-net
name: "train-net"
debug_info: true
layer {
   name: "vishnu-layer-1"
   type: "Input"
   top: "data"
   top: "label"
   include {
      phase: TRAIN
   }
   input_param {
      shape {
         dim: 100
         dim: 1
      }
   }
}

# The Test input layer
layer {
   name: "test-layer-1"
   type: "Input"
   top: "data"
   top: "fake-label"
   include {
      phase: TEST
   }
   input_param {
      shape {
         dim: 1
         dim: 1
      }
   }
}


layer {
  name: "square-layer-1"
  type: "InnerProduct"
  bottom: "data"
  top:    "square-layer-12"
  inner_product_param {
    num_output: 5
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "square-layer-11"
  type: "InnerProduct"
  bottom:    "square-layer-12"
  top:       "square-layer-112"
  inner_product_param {
    num_output: 5
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "xavier"
    }
  }
}


layer {
  name: "square-layer-2"
  type: "InnerProduct"
  bottom: "square-layer-112"
  top:    "predicted-square"
  inner_product_param {
    num_output: 1
    weight_filler {
      type: "xavier"
    }
    bias_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "loss-layer"
  type: "EuclideanLoss"
  bottom: "label"
  bottom: "predicted-square"
  top:    "myloss-output"
  include {
     phase: TRAIN
  }
}