Download the fantastic book titled Deep Learning in Computer Vision written by Mahmoud Hassaballah, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Deep Learning in Computer Vision", which was released on 23 March 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Deep Learning in Computer Vision by Mahmoud Hassaballah PDF
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
Detail About Deep Learning in Computer Vision PDF
- Author : Mahmoud Hassaballah
- Publisher : CRC Press
- Genre : Computers
- Total Pages : 261 pages
- ISBN : 1351003801
- Release Date : 23 March 2020
- PDF File Size : 28,5 Mb
- Language : English
- Rating : 5/5 from 1 reviews
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