Archives for EfficientNetV2
In the future, we plan to optimise these models further and apply them to new tasks, such as zero-shot learning and self-supervised learning.
EfficientNetV2 can train up to 11x faster than prior models, while being up to 6.8x smaller in parameter size.
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