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For questions related to the concept of fine-tuning a model (e.g. neural network), which is very related to and sometimes used as a synonym for transfer learning.

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What is the difference between fine tuning and variants of few shot learning?

I believe the standard meanings are as follows, but not everyone uses words in the same way, so you might see examples that differ. Fine tuning refers to slightly changing the weights of a pre-trained …
Lee Reeves's user avatar