What is Meta-Learning?
Meta-Learning, also known as Learning to Learn, is a subfield of
machine learning that focuses on developing algorithms or models that can learn and adapt quickly to new tasks or environments. Meta-learning aims to enable models to acquire knowledge or learn from previous learning experiences, leading to improved generalization and faster learning on new tasks.
