Da: Majestic Books, Hounslow, Regno Unito
EUR 221,85
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Aggiungi al carrelloCondizione: New. pp. 575.
Da: Revaluation Books, Exeter, Regno Unito
EUR 225,54
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Aggiungi al carrelloPaperback. Condizione: Brand New. 575 pages. 9.00x6.00x1.10 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
EUR 231,54
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 575.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 244,83
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Aggiungi al carrelloCondizione: New. pp. 575.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 254,72
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Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 258,57
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Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 275,67
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Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 301,49
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 302,34
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 194,05
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Editore: Elsevier Science & Technology|Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 218,79
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristiv.
Editore: Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 220,00
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Englisch.
Editore: Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 240,83
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists.