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I noticed in the paper and original repo, L2 loss function is used. In your implementation:
# define loss function (criterion) and pptimizer criterion = nn.CrossEntropyLoss().cuda()
cross entropy loss is used.
does it really work?
The text was updated successfully, but these errors were encountered:
I didn't successfully implement the training part, but the model is converted right. ;-D.
Best, Wangpeng
Sorry, something went wrong.
Try train.py
train.py
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I noticed in the paper and original repo, L2 loss function is used.
In your implementation:
cross entropy loss is used.
does it really work?
The text was updated successfully, but these errors were encountered: