Few-Shot Learning: Revision history

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15 December 2023

  • curprev 23:4123:41, 15 December 2023‎ Ai talk contribs‎ 4,373 bytes +4,373‎ Created page with "== Introduction == Few-shot learning is a concept in machine learning that focuses on designing machine learning models that can learn useful information from a small number of examples - typically, one to five, hence the term "few-shot". The main goal of few-shot learning is to create models that can generalize well from a limited amount of data. Image:Detail-47549.jpg|thumb|center|A computer screen displaying a machine learning algorithm in act..."
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