Deep Learning-Powered Technologies

This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the integration of deep learning with various application domains, such as autonomous driving, augmented reality, AIOT, 5G and beyond.

Discusses fundamental techniques and tools for deep learning, including a deep dive into the Python language Explores the state-of-the-art applications of machine and deep learning Includes a comparative study of different deep learning architectures, applications, tools, and platforms

Autorentext

Khaled Salah Mohamed attended the school of engineering, Department of Electronics and Communications at Ain-Shams University from 1998 to 2003, where he received his B.Sc. degree in Electronics and Communications Engineering with distinction and honors. He received his Master's degree in Electronics from Cairo University, Egypt in 2008. He received his PhD degree in 2012. Dr. Khaled Salah is currently an Applications Engineering Consultant for Siemens Digital Industries Software, in Freemont, CA. Dr. Khaled Salah has published a large number of papers in in the top refereed journals and conferences. His research interests are in 3D integration, IP Modeling, and SoC design.

Inhalt

An introduction to Deep Learning.- Deep Learning for Autonomous Driving.- Deep Learning for IoT.- Deep Learning for Spatial Computing: Augmented Reality and Metaverse The Digital Universe.- Deep Learning for 5G and Beyond.- Python for Deep Learning: A General Introduction.