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Introduction to Transfer Learning : Algorithms and Practice
Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: New.
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Introduction to Transfer Learning (Paperback)
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: 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.
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Introduction to Transfer Learning: Algorithms and Practice (Paperback or Softback)
Anbieter: BargainBookStores, Grand Rapids, MI, USA
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Paperback or Softback. Zustand: New. Introduction to Transfer Learning: Algorithms and Practice. Book.
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Introduction to Transfer Learning : Algorithms and Practice
Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: As New. Unread book in perfect condition.
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Introduction to Transfer Learning
Sprache: Englisch
Verlag: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 67,05
Versand gratis
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In den WarenkorbPaperback. Zustand: New. 2023 ed. 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.
-
Introduction to Transfer Learning
Sprache: Englisch
Verlag: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Paperback. Zustand: New. 2023 ed. 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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Introduction to Transfer Learning: Algorithms and Practice
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 54,55
EUR 13,89 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
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Introduction to Transfer Learning (Hardcover)
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811975833 ISBN 13: 9789811975837
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. 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.
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Algorithms and Practice : Algorithms and Practice
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New.
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Introduction to Transfer Learning
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Zustand: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 60,66
EUR 13,89 Versand
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In den WarenkorbZustand: New. In English.
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Introduction to Transfer Learning : Algorithms and Practice
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 59,68
EUR 17,39 Versand
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In den WarenkorbZustand: New.
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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
EUR 71,43
EUR 7,54 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
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Algorithms and Practice : Algorithms and Practice
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition.
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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
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Zustand: New.
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Introduction to Transfer Learning : Algorithms and Practice
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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EUR 66,95
EUR 17,39 Versand
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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Introduction to Transfer Learning: Algorithms and Practice (Machine Learning: Foundations, Methodologies, and Applications)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 72,89
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Algorithms and Practice : Algorithms and Practice
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Introduction to Transfer Learning: Algorithms and Practice
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 81,38
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In den WarenkorbPaperback. Zustand: Brand New. 350 pages. 9.25x6.10x9.21 inches. In Stock.
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Algorithms and Practice : Algorithms and Practice
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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EUR 79,99
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Introduction to Transfer Learning
Sprache: Englisch
Verlag: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Verkäuferbewertung 5 von 5 Sternen
EUR 70,46
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In den WarenkorbPaperback. Zustand: New. 2023 ed. 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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Taschenbuch. Zustand: Neu. Introduction to Transfer Learning | Algorithms and Practice | Jindong Wang (u. a.) | Taschenbuch | Machine Learning: Foundations, Methodologies, and Applications | xxi | Englisch | 2024 | Springer | EAN 9789811975868 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Introduction to Transfer Learning (Paperback)
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Introduction to Transfer Learning: Algorithms and Practice
Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 9811975833 ISBN 13: 9789811975837
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 117,76
EUR 14,49 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 350 pages. 9.25x6.10x0.98 inches. In Stock.
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Introduction to Transfer Learning
Sprache: Englisch
Verlag: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9811975868 ISBN 13: 9789811975868
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 62,26
EUR 75,36 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. 2023 ed. 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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Introduction to Transfer Learning : Algorithms and Practice
Sprache: Englisch
Verlag: Springer, Springer Nature Singapore, 2023
ISBN 10: 9811975833 ISBN 13: 9789811975837
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: 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.
-
Introduction to Transfer Learning (Hardcover)
Sprache: Englisch
Verlag: Springer Verlag, Singapore, Singapore, 2023
ISBN 10: 9811975833 ISBN 13: 9789811975837
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: new. Hardcover. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
