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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications) - Softcover
- PublisherSpringer
- Publication date2024
- ISBN 10 9811975868
- ISBN 13 9789811975868
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages352
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Introduction to Transfer Learning : Algorithms and Practice
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Introduction to Transfer Learning : Algorithms and Practice
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Introduction to Transfer Learning: Algorithms and Practice (Paperback or Softback)
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Springer 10/19/2024, 2024
ISBN 10: 9811975868
ISBN 13: 9789811975868
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Introduction to Transfer Learning (Paperback)
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Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9811975868
ISBN 13: 9789811975868
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Paperback. Condition: new. Paperback. 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 students 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789811975868
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Introduction to Transfer Learning : Algorithms and Practice
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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
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Introduction to Transfer Learning
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 329 pp. Englisch. Seller Inventory # 9789811975868
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Introduction to Transfer Learning : Algorithms and Practice
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Introduction to Transfer Learning : Algorithms and Practice
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Springer Nature Singapore, 2024
ISBN 10: 9811975868
ISBN 13: 9789811975868
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9789811975868
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Introduction to Transfer Learning: Algorithms and Practice
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Paperback. Condition: Brand New. 350 pages. 9.25x6.10x9.21 inches. In Stock. Seller Inventory # x-9811975868
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