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Hi, thank you for sharing the code. Is it possible to clarify the all training options (e.g., python train_model.py -d mnist -m d2l -e 50 -b 128 -r 40 ) for the results on the paper? It'll be very useful in reproducing your results.
Thanks
The text was updated successfully, but these errors were encountered:
Hi, thank you for sharing the code. Is it possible to clarify the all training options (e.g.,
python train_model.py -d mnist -m d2l -e 50 -b 128 -r 40
) for the results on the paper? It'll be very useful in reproducing your results.Thanks
The text was updated successfully, but these errors were encountered: