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Published by LAP LAMBERT Academic Publishing, 2024
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Taschenbuch. Condition: Neu. Hands-On Implementation of Deep Learning Models | Rupesh Kumar Tipu | Taschenbuch | 72 S. | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207806386 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
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Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Hands-On Implementation of Deep Learning Models' is a comprehensive guide designed to bridge the gap between theoretical knowledge and practical application in deep learning. This book covers everything from the fundamentals of deep learning to advanced topics, providing step-by-step instructions, code examples, and hands-on exercises.This book is suitable for students, academics, industry professionals, and AI enthusiasts looking to gain practical experience and apply deep learning to solve real-world problems. By following along with the examples and exercises, readers will build a strong foundation and develop the confidence to undertake their own deep learning projects.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Hands-On Implementation of Deep Learning Models' is a comprehensive guide designed to bridge the gap between theoretical knowledge and practical application in deep learning. This book covers everything from the fundamentals of deep learning to advanced topics, providing step-by-step instructions, code examples, and hands-on exercises.This book is suitable for students, academics, industry professionals, and AI enthusiasts looking to gain practical experience and apply deep learning to solve real-world problems. By following along with the examples and exercises, readers will build a strong foundation and develop the confidence to undertake their own deep learning projects.