Introduction to Transfer Learning: Algorithms and Practice Wang Jindong
Introduction to Transfer Learning: Algorithms and Practice Wang Jindong Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. Over the…
Specifikacia Introduction to Transfer Learning: Algorithms and Practice Wang Jindong
Introduction to Transfer Learning: Algorithms and Practice Wang Jindong
Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. Over the years, a number of relevant topics have attracted the interest of the research and application community: transfer learning, pre-training and fine-tuning, domain adaptation, domain generalization, and meta-learning.This book offers a comprehensive tutorial on an overview of transfer learning, introducing new researchers in this area to both classic and more recent algorithms. It seeks to leverage existing knowledge by transferring it to another, new domain.
Accompanying the book, detailed code implementations are provided to better illustrate the core ideas of several Most importantly, it takes a "student's" perspective to introduce all the concepts, theories, algorithms, and applications, allowing readers to quickly and easily enter this area.
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