Convolutional Neural Networks in Visual Computing (ePub)
This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems.
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This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems.
Baoxin Li received his Ph.D. in electrical engineering from the University of Maryland, College Park, in 2000. He is currently a Professor and Chair of the Computer Science and Engineering program, and a Graduate Faculty in Electrical Engineering and Computer Engineering programs at Arizona State University, Tempe. From 2000 to 2004, he was a Senior Researcher with SHARP Laboratories of America, Camas, Washington, where he was a technical lead in developing SHARP's trademarked HiMPACT Sports technologies. From 2003-2004, he was also an Adjunct Professor with the Portland State University, Oregon. He holds eighteen issued U.S. patents and his current research interests include computer vision and pattern recognition, multimedia, social computing, machine learning, and assistive technologies. He won twice the SHARP Laboratories' President Award, in 2001 and 2004 respectively. He also won the SHARP Laboratories' Inventor of the Year Award in 2002. He was a recipient of the National Science Foundation's CAREER Award.
- Autoren: Ragav Venkatesan , Baoxin Li
- 2017, 186 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1351650327
- ISBN-13: 9781351650328
- Erscheinungsdatum: 23.10.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 4.68 MB
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