Editore: LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806395 ISBN 13: 9786207806393
Lingua: Inglese
Da: California Books, Miami, FL, U.S.A.
EUR 47,98
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Aggiungi al carrelloCondizione: New.
Editore: LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806395 ISBN 13: 9786207806393
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 44,59
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Editore: LAP Lambert Academic Publishing, 2024
ISBN 10: 6207806395 ISBN 13: 9786207806393
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 50,22
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. "Deep Learning Model Concepts: Fundamentals and Applications" is a comprehensive guide designed to provide readers with a deep understanding of the principles and applications of deep learning. The book is divided into two main parts.The book emphasizes practical implementation, providing examples and code snippets to illustrate key concepts. It also explores advanced topics and future directions in deep learning, making it a valuable resource for students, researchers, and professionals seeking to deepen their understanding and application of deep learning technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207806395 ISBN 13: 9786207806393
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207806395 ISBN 13: 9786207806393
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Deep Learning Model Concepts: Fundamentals and Applications' is a comprehensive guide designed to provide readers with a deep understanding of the principles and applications of deep learning. The book is divided into two main parts.The book emphasizes practical implementation, providing examples and code snippets to illustrate key concepts. It also explores advanced topics and future directions in deep learning, making it a valuable resource for students, researchers, and professionals seeking to deepen their understanding and application of deep learning technologies.