Description
Morgan A Guide to Convolutional Neural Networks for Computer Vision by Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah
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._x000D__x000D_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 libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation._x000D__x000D_This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models._x000D_ Table of contents :- _x000D_
Preface_x000D_
Acknowledgments_x000D_
Introduction_x000D_
Features and Classifiers_x000D_
Neural Networks Basics_x000D_
Convolutional Neural Network_x000D_
CNN Learning_x000D_
Examples of CNN Architectures_x000D_
Applications of CNNs in Computer Vision_x000D_
Deep Learning Tools and Libraries_x000D_
Conclusion_x000D_
Bibliography_x000D_
Authors' Biographies_x000D_