How to calculate test loss value from a trained CNN network in case of multiclass classification?

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I have few pretrained deep networks for multiclass classification. To compare their performance, besides F1 and AUC scores, I want to calculate the final loss values during test time for each network.
Is their a predefined function in matlab to do that. If not, can someone guide me how to do that using predicted test scores?
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Greg Heath
Greg Heath 2019 年 2 月 14 日
編集済み: Greg Heath 2019 年 2 月 14 日
To make life simple, why not just use 0 and 1 targets, Sigmoid or Gaussian outputs that are bounded to (0,1) ???
help patternnet
doc patternnet
Hope this helps


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