Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Da: Revaluation Books, Exeter, Regno Unito
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EUR 73,74
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 53,11
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: AussieBookSeller, Truganina, VIC, Australia
EUR 91,77
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 57,96
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 126,14
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 59,69
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Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
EUR 71,75
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 129,93
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 124,54
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 126,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 125,53
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Da: California Books, Miami, FL, U.S.A.
EUR 139,39
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Da: Books Puddle, New York, NY, U.S.A.
EUR 141,98
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 135,43
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 144,69
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EUR 72,27
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 148,59
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Editore: Taylor & Francis Ltd (Sales) Jun 2023, 2023
ISBN 10: 1032105674 ISBN 13: 9781032105673
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,25
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud.
EUR 75,45
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Editore: Taylor & Francis Ltd, London, 2023
ISBN 10: 1032105674 ISBN 13: 9781032105673
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 152,38
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Features Life cycle of the multi- modal data analytics is discussed with applications of modalities of text, image, and video. Deep Learning fundamentals and architectures covering convolutional Neural Networks, recurrremt neural networks, and types of learning for different multi-modal networks. Applications of Multi-Modal Analytics covering Text , Speech, and Image. This book is aimed at researchers in Multi-modal analytics and related areas The text discusses various modalities of data and provides aggregated solutions using cloud. It includes the fundamentals of neural networks, different types and how it can be used for the multi-modal information analytics. Various image-centric and video application areas are presented with deployment solutions in the cloud. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 67,12
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Da: Revaluation Books, Exeter, Regno Unito
EUR 184,16
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Aggiungi al carrelloHardcover. Condizione: Brand New. 232 pages. 9.19x6.13x0.77 inches. In Stock.
Da: BestAroundDeals, Grand Rapids, MI, U.S.A.
Prima edizione
EUR 161,86
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Da: Revaluation Books, Exeter, Regno Unito
EUR 63,86
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Aggiungi al carrelloPaperback. Condizione: Brand New. 256 pages. 9.18x6.12 inches. In Stock. This item is printed on demand.
Da: moluna, Greven, Germania
EUR 111,38
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Srinidhi Hiriyannaiah is working as senior software engineering in GE Healthcare, he received his Ph.D. degree from VTU during 2020 and did his Master of Technology in Software Engineering from M.S. Ramaiah Institute of Technology, B.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 148,97
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.