Apprentissage avec peu d’exemples

Définition

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Français

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Anglais

Few-shot Learning

Few-shot learning refers to the training of machine learning algorithms using a very small set of training data instead of a very large set. This is most suitable in the field of computer vision, where it is desirable to have an object categorization model work well without thousands of training examples.

Source : analyticsvidhya.com