Tensorflow transfer learning EfficientNet on Stanford dogs
in Mandarin/zh, with EfficientNet, with pretrained weights, freeze all the weights, then you can add your top, then fit/train, you can reach satisfied accuracy with very limited training time/epochs; then unfreeze the layers -20: of non BN layers, change its trainable to True, then fit, you can get even better accuracy with very few like 10 epochs. So this is called transfer learning.
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