Zero-Shot Learning

Browse all content tagged with Zero-Shot Learning

Glossary

Zero-Shot Learning

Zero-Shot Learning is a method in AI where a model recognizes objects or data categories without having been explicitly trained on those categories, using semantic descriptions or attributes to make inferences. It's especially useful when collecting training data is challenging or impossible.

Zero-Shot Learning AI Machine Learning +2
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