| 期刊全称 | A Guide to Convolutional Neural Networks for Computer Vision | | 影响因子2023 | Salman Khan,Hossein Rahmani,Mohammed Bennamoun | | 视频video | | | 学科分类 | Synthesis Lectures on Computer Vision | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 18:57:01
