Zero shot, one shot and few shot learning: Difference between revisions
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==Few Shot Learning== | ==Few Shot Learning== | ||
Few-shot learning is similar to one-shot learning, but it refers to a scenario where the model is trained on a small number of examples, typically between 2 and 20 examples per class. The goal is still to learn from these few examples and generalize to new, unseen examples of the same class. | [[Few-shot learning]] is similar to one-shot learning, but it refers to a scenario where the model is trained on a small number of examples, typically between 2 and 20 examples per class. The goal is still to learn from these few examples and generalize to new, unseen examples of the same class. | ||
===Example=== | ===Example=== | ||