Items related to A Guide to Convolutional Neural Networks for Computer...
A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures on Computer Vision) - Hardcover
Synopsis
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 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.
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.
"synopsis" may belong to another edition of this title.
About the Author
Salman Khan received a B.E. in Electrical Engineering from the National University of Sciences and Technology (NUST) in 2012 with high distinction, and a Ph.D. from The University of Western Australia (UWA) in 2016. His Ph.D. thesis received an Honorable Mention on the Dean's list Award. In 2015, he was a visiting researcher with National ICT Australia, Canberra Research Laboratories. He is currently a Research Scientist with Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), and has been an Adjunct Lecturer with Australian National University (ANU) since 2016. He was awarded several prestigious scholarships such as the International Postgraduate Research Scholarship (IPRS) for Ph.D. and the Fulbright Scholarship for MS. He has served as a program committee member for several leading computer vision and robotics conferences such as IEEE CVPR, ICCV, ICRA, WACV, and ACCV. His research interests include computer vision, pattern recognition, and machine learning.
"About this title" may belong to another edition of this title.
- PublisherMorgan & Claypool
- Publication date2018
- ISBN 10 1681732785
- ISBN 13 9781681732787
- BindingHardcover
- LanguageEnglish
- Number of pages207
- EditorMedioni Gerard
- Rating
(No Available Copies)
Search Books: Create a WantCan't find the book you're looking for? We'll keep searching for you. If one of our booksellers adds it to AbeBooks, we'll let you know!
Create a Want
