Meta-Learning

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Glossary

Apprentissage en Few-Shot

L'apprentissage en Few-Shot est une approche d'apprentissage automatique qui permet aux modèles de faire des prédictions précises en utilisant seulement un petit nombre d'exemples étiquetés. Contrairement aux méthodes supervisées traditionnelles, elle se concentre sur la généralisation à partir de données limitées, en tirant parti de techniques comme le meta-learning, l'apprentissage par transfert et l'augmentation de données.

Few-Shot Learning Machine Learning Meta-Learning +2
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