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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 } }
The text was updated successfully, but these errors were encountered:
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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.
The text was updated successfully, but these errors were encountered: