📚 node [[few shot_learning|few shot learning]]
Welcome! Nobody has contributed anything to 'few shot_learning|few shot learning' yet. You can:
  • Write something in the document below!
    • There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
  • Write to the Agora from social media.
    • If you follow Agora bot on a supported platform and include the wikilink [[few shot_learning|few shot learning]] in a post, the Agora will link it here and optionally integrate your writing.
  • Sign up as a full Agora user.
    • As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[few shot_learning]]
⥅ node [[few-shot_learning]] pulled by Agora

few-shot learning

Go back to the [[AI Glossary]]

A machine learning approach, often used for object classification, designed to learn effective classifiers from only a small number of training examples.

See also one-shot learning.

📖 stoas
⥱ context