Few-shot learning: Revision history

20 March 2023

• curprev 01:1701:17, 20 March 2023‎ Walle talk contribs‎ 3,096 bytes +3,096‎ Created page with "{{see also|Machine learning terms}} ==Few-shot Learning in Machine Learning== Few-shot learning is a subfield of machine learning, particularly focused on training algorithms to perform tasks or make predictions with a limited amount of data. In contrast to traditional machine learning, which often relies on large volumes of data for training, few-shot learning aims to achieve similar performance using only a few samples. ===Background and Motivation=== The development..."