Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Annotated edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: preigu, Osnabrück, Germania
EUR 36,25
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. CNNs and applications in 2D computer vision | Mingliang Gao | Taschenbuch | 84 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139865116 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Driven by GPUs, massive amounts of annotated data and more advanced algorithms, deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. Among different types of deep neural networks, convolutional neural networks (CNNs) have been most extensively studied. CNNs have recently taken the computer vision community by storm and benefited real-world applications. This monograph presents the CNNs from the aspect of architectures, improvements and applications in 2D computer vision. 84 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: Majestic Books, Hounslow, Regno Unito
EUR 63,32
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 64,69
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: moluna, Greven, Germania
EUR 34,25
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gao MingliangMing-Liang Gao received his Ph.D in communication and information systems from Sichuan University, Chengdu, China, in 2013. He is currently an associate professor in Shandong University of Technology, Zibo, China. His ma.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Driven by GPUs, massive amounts of annotated data and more advanced algorithms, deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. Among different types of deep neural networks, convolutional neural networks (CNNs) have been most extensively studied. CNNs have recently taken the computer vision community by storm and benefited real-world applications. This monograph presents the CNNs from the aspect of architectures, improvements and applications in 2D computer vision.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139865115 ISBN 13: 9786139865116
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Driven by GPUs, massive amounts of annotated data and more advanced algorithms, deep neural networks have evolved remarkably over the past few years and they are currently the fundamental tools of many intelligent systems. Among different types of deep neural networks, convolutional neural networks (CNNs) have been most extensively studied. CNNs have recently taken the computer vision community by storm and benefited real-world applications. This monograph presents the CNNs from the aspect of architectures, improvements and applications in 2D computer vision.