Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: California Books, Miami, FL, U.S.A.
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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
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Add to basketPaperback. Condition: new. Paperback. "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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by KS Omniscriptum Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207806387 ISBN 13: 9786207806386
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 53.50
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Add to basketTaschenbuch. 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.