When training a model in Deep Learning with multiple outputs, such as ROC1, ROC2, ROC3, ROC4, ROC5, what does the learning curve show? Is it the average of the learning curves of all 5 outputs?
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Per Microsoft Copilot -
By default - TorchSharp will return the average loss across all outputs — and that’s what earning curve will reflect.
By default - TorchSharp will return the average loss across all outputs — and that’s what earning curve will reflect.
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