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並前往https://whythinkaloud.com/2020/06/04/beating-efficientnet-b4-state-of-art-result-for-food101-dataset-using-fast-ai/

Beating Efficientnet-B4 state-of-art result for Food101 dataset ...

We will try to beat the Efficientnet-B4 as B7 is very resource-intensive to train. I trained the models on Colab Pro, which runs 16 GB ...

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