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Titlebook: A Guide to Convolutional Neural Networks for Computer Vision; Salman Khan,Hossein Rahmani,Mohammed Bennamoun Book 2018 Springer Nature Swi

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期刊全稱A Guide to Convolutional Neural Networks for Computer Vision
影響因子2023Salman Khan,Hossein Rahmani,Mohammed Bennamoun
視頻videohttp://file.papertrans.cn/141/140935/140935.mp4
學(xué)科分類Synthesis Lectures on Computer Vision
圖書封面Titlebook: A Guide to Convolutional Neural Networks for Computer Vision;  Salman Khan,Hossein Rahmani,Mohammed Bennamoun Book 2018 Springer Nature Swi
影響因子.Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision...This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs.The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libra
Pindex Book 2018
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https://doi.org/10.1007/978-3-663-19643-3asic processing units, which are tightly interconnected and operate on the given inputs to process the information and generate desired outputs. Neural networks can be grouped into two generic categories based on the way the information is propagated in the network.
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2153-1056 smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolu
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A Guide to Convolutional Neural Networks for Computer Vision978-3-031-01821-3Series ISSN 2153-1056 Series E-ISSN 2153-1064
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