Resource
EfficientNets are a family of image classification models, which achieve state-of-the-art accuracy, being an order-of-magnitude smaller and faster.
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Changelog
February 2022
- Second release
- Code Refactoring
- Add support of graduate accumulation
- Add support of exponential moving average evaluation
- Update all accuracy and performance tables on V100 and A100 results
March 2021
- Initial release
Known issues
- EfficientNet v1-B0 does not improve training speed by using AMP as compared to FP32, because of the CPU-bound Auto-augmentation.