paperback. Condition: Very Good. Multi-faceted Deep Learning: Models and Data This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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xiv, 267 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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VIII, 283 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Elsevier Science and Technology, 2023
ISBN 10: 0323960987 ISBN 13: 9780323960984
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Published by Elsevier Science and Technology, 2023
ISBN 10: 0323960987 ISBN 13: 9780323960984
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Published by Elsevier Science and Technology, GB, 2023
ISBN 10: 0323960987 ISBN 13: 9780323960984
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Explainable Deep Learning AI: Methods and Challenges presents the latest works of leading researchers in the XAI area, offering an overview of the XAI area, along with several novel technical methods and applications that address explainability challenges for deep learning AI systems. The book overviews XAI and then covers a number of specific technical works and approaches for deep learning, ranging from general XAI methods to specific XAI applications, and finally, with user-oriented evaluation approaches. It also explores the main categories of explainable AI - deep learning, which become the necessary condition in various applications of artificial intelligence. The groups of methods such as back-propagation and perturbation-based methods are explained, and the application to various kinds of data classification are presented.
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Language: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461435870 ISBN 13: 9781461435877
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 115 pages. 9.25x6.25x0.25 inches. In Stock.
Condition: New. pp. 288.
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Published by Academic Press 2023-02-24, 2023
ISBN 10: 0323960987 ISBN 13: 9780323960984
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Published by Elsevier Science & Technology, 2023
ISBN 10: 0323960987 ISBN 13: 9780323960984
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Paperback. Condition: Brand New. reprint edition. 286 pages. 9.25x6.10x0.55 inches. In Stock.
Language: English
Published by Springer-Verlag New York Inc, 2014
ISBN 10: 3319056956 ISBN 13: 9783319056951
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Hardcover. Condition: Brand New. 2014 edition. 272 pages. 9.75x6.75x0.75 inches. In Stock.
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