Deep Learning-Powered Technologies

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Sprache: Englisch

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Beschreibung

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.

Zusammenfassung

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 [...]. 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.

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2024
Fachbereich:	Nachrichtentechnik
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Synthesis Lectures on Engineering, Science, and Technology
Inhalt:	xiii 205 S. 31 s/w Illustr. 134 farbige Illustr. 205 p. 165 illus. 134 illus. in color.
ISBN-13:	9783031357398
ISBN-10:	3031357396
Sprache:	Englisch
Herstellernummer:	978-3-031-35739-8
Einband:	Kartoniert / Broschiert
Autor:	Mohamed, Khaled Salah
Hersteller:	Springer Palgrave Macmillan Springer International Publishing AG Synthesis Lectures on Engineering, Science, and Technology
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	240 x 168 x 13 mm
Von/Mit:	Khaled Salah Mohamed
Erscheinungsdatum:	12.07.2024
Gewicht:	0,384 kg