few-shot learning

English

Noun

few-shot learning (uncountable)

  1. (machine learning) An object categorization problem, mainly in computer vision, involving the classification of objects based on only a few examples.
    Coordinate terms: N-shot learning, one-shot learning, zero-shot learning
This article is issued from Wiktionary. The text is available under Creative Commons Attribution-Share Alike 4.0 unless otherwise noted. Additional terms may apply for the media files.