Meta-Learning

Browse all content tagged with Meta-Learning

Glossary

Few-Shot Learning

Few-Shot Learning is a machine learning approach that enables models to make accurate predictions using only a small number of labeled examples. Unlike traditional supervised methods, it focuses on generalizing from limited data, leveraging techniques like meta-learning, transfer learning, and data augmentation.

Few-Shot Learning Machine Learning Meta-Learning +2
• 6 min read

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