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N-Shot Learning - What is meant by few shot learning?


Making predictions using a small number of samples is known as few-shot learning. There is a difference between traditional supervised learning and few-shot learning. The point of few-shot learning isn't to train the model to recognize photos in one set and then apply that recognition to another.