April 2020
Beginner to intermediate
156 pages
4h 47m
English
Meta-learning has recently generated a lot of attention in the research community. Most of the methods that have been discussed in this book are meta-learning type methods, such as model agnostic meta-learning and meta networks. Meta-learning is an approach to train a model on different tasks and then use commonly learned features for a specific task. It helps the model to learn a strong prior across many tasks, which helps a model to reach optimization with limited data. In simpler words, meta-learning is an approach to train a model to learn to learn any objective.
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