EfficientNet-PyTorch
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A PyTorch implementation of EfficientNet
I tried using pretrained weights for efficientnet-b0 and efficientnet-b1 and evaluated it on Imagenet but did not get the same Accuracy (rank 1 and rank 5) that is mentioned in...
I am trying to load a pretrained model with a different number of classes to apply transfer learning on cifar10. When I run > model = EfficientNet.from_pretrained('efficientnet-b1', num_classes=23) I got...
We have been using EfficientNet 0.6.3 to train models for multi-label classification. When upgrading to 0.7.0 and loading the previously trained weights, the model output is incorrect (basically predicting negative...
Hi, I have a problem with multi-task learning when using EfficientNet. I want to load the pre-trained model and remove the raw FC layers, then add my own 2 new...
Does anyone have any thoughts on where and how to add gradient checkpoints in this implementation to reduce memory usage during training?
I am using this b7 model in efficientNet , but getting huge losses , can't able to figure out where I am going wrong # downloading the pretrained model -...
Hello, I got a question: what does passing num_classes actually do? add another extra linear layer at the end with corresponding classes? What happens if I don't pass it? How...
hi,I ran your sample code and then tested the inference time,but I find that the inference speed is much slower than original TensorFlow code on my computer。  
Hi, the README.md in examples/imagenet/README.md says that the code is not trainable. however, there is training code in examples/imagenet/main.py file. should the readme.md updated or the training code is not...