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PyTorch implementation of "EfficientNet", ICML 2019

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I use the net to train cifar-100, but the after 300 epoch the train_error reaches to 0 but the test_error is still about 55%(acually it reach 55% after 50 epoch)....

I simply download your code and run cifar100.py on K80 with torch == 1.1.0 torchvision == 0.2.2 But the trian and test error is still high even having been trained...

i cant understand the test_err 99.01% on epoch 1. Sorry I have two quenstions. (1) i think it is too good for cifar100. Why? (2) (When I tried to do...

May be I might be wrong, however I found that your MBConv block dosen't have skip connection. In your model it's **MBConv** compare to https://github.com/lukemelas/EfficientNet-PyTorch/blob/master/efficientnet_pytorch/model.py **MBConvBlock** class Or maybe not...

I have tried to decrease the redundancy in the code.