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.
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Mingliang Gao received PhD in communication and information systems from Sichuan University, Chengdu, China, in 2013. His main research interests include meta-heuristic optimization, analysis of motion, and visual tracking.
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Taschenbuch. Zustand: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Artikel-Nr. 9786139865116
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Taschenbuch. Zustand: 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: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 114113620
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