| Verfasst von: | Wang, Jindong [VerfasserIn]  |
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| | Chen, Yiqiang [VerfasserIn] |
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| Titel: | Introduction to transfer learning |
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| Titelzusatz: | algorithms and practice |
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| Verf.angabe: | Jindong Wang, Yiqiang Chen |
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| Verlagsort: | Singapore |
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| Verlag: | Springer |
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| E-Jahr: | 2023 |
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| Jahr: | [2023] |
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| Umfang: | xxi, 329 Seiten |
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| Illustrationen: | Illustrationen, Diagramme |
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| Gesamttitel/Reihe: | Machine learning: foundations, methodologies, and applications |
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| ISBN: | 978-981-19-7586-8 |
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| Abstract: | 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 |
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| URL: | Cover: https://www.dietmardreier.de/annot/564C42696D677C7C393738393831313937353836387C7C434F50.jpg?sq=1 |
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| Sprache: | eng |
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| Bibliogr. Hinweis: | Erscheint auch als : Online-Ausgabe: Wang, Jindong: Introduction to Transfer Learning. - 1st ed. 2023.. - Singapore : Springer Nature Singapore, 2023. - 1 Online-Ressource(XXI, 329 p. 1 illus. in color.) |
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| Sach-SW: | COMPUTERS / Artificial Intelligence |
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| | COMPUTERS / Computer Science |
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| | COMPUTERS / Computer Vision & Pattern Recognition |
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| | COMPUTERS / Data Processing / Speech & Audio Processing |
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| | Computer vision |
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| | MATHEMATICS / Probability & Statistics / General |
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| | Machine learning |
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| | Maschinelles Lernen |
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| | Maschinelles Sehen, Bildverstehen |
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| | Mathematical theory of computation |
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| | Natural language & machine translation |
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| | Natürliche Sprachen und maschinelle Übersetzung |
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| | Theoretische Informatik |
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| K10plus-PPN: | 1892121603 |
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