Meta-learning: Revision history

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18 March 2023

  • curprev 13:2113:21, 18 March 2023‎ Walle talk contribs‎ 4,259 bytes +4,259‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Meta-learning, also referred to as "learning to learn", is an advanced paradigm in the field of machine learning that focuses on the design of algorithms and models capable of improving their performance on new tasks by utilizing previous learning experiences. The primary objective of meta-learning is to develop models that can adapt quickly to new tasks with minimal data and training time. This article provides an..."
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