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Loss layer calculation  #16

@aurotripathy

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@aurotripathy

Hi Junhyuk, your training regime learns fine.

Can you please shed some light on how the loss is calculated.

Is it calculated based on the output of a single label value or the entire 320 label values?

I ask because the ip1 layer has num_output as 1 (shown below)

Thank you.

layer {
  name: "ip1"
  type: "InnerProduct"
  bottom: "lstm1"
  top: "ip1"

  inner_product_param {
    num_output: 1
    weight_filler {
      type: "gaussian"
      std: 0.1
    }
    bias_filler {
      type: "constant"
    }
  }
}
layer {
  name: "loss"
  type: "EuclideanLoss"
  bottom: "ip1"
  bottom: "label"
  top: "loss"
  include: { phase: TRAIN }
}

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