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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Introduction to Transfer Learning - Algorithms and Practice (Hardcover, 1st ed. 2023)
Loot Price: R1,867
Discovery Miles 18 670
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Introduction to Transfer Learning - Algorithms and Practice (Hardcover, 1st ed. 2023)
Series: Machine Learning: Foundations, Methodologies, and Applications
Expected to ship within 12 - 17 working days
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Transfer learning is one of the most important technologies in the
era of artificial intelligence and deep learning. It seeks to
leverage existing knowledge by transferring it to another, new
domain. 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. 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.
Accompanying the book, detailed code implementations are provided
to better illustrate the core ideas of several important
algorithms, presenting good examples for practice.
General
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