gen-efficientnet-pytorch

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how to fuse conv and bn when using this repo to perform quantization aware training? show in the code snippet,like fuse_model func: `import geffnet model = geffnet.efficientnet_lite0(pretrained=True, drop_rate=0.25, drop_connect_rate=0.2) mode.fuse_model()...

chenxinhua

https://github.com/mdcallag/mytools/blob/master/bench/b1/setup.sh

heeman84

Maybe it is a stupid question.I wonder how to train the model from scratch on a different dataset with a different classes,say,10 classes?

Agito555

Is it possible to use Efficientnet via Pytorch hub to train a model with 4 channel input? If yes, please guide me. Thanks!

AlxJude