ACGAN-PyTorch
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Softmax or logsoftmax for auxiliary prediction
The current code uses softmax for auxiliary prediction and during training uses NLL Loss. But according to here it seems that the right last layer to go with NLL is LogSoftmax instead?
However,I found only Softmax rather than LogSoftmax works.Could you verify the differences between these?