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Deep Learning-Powered Technologies [electronic resource] : Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond / by Khaled Salah Mohamed.

By: Mohamed, Khaled Salah [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Engineering, Science, and Technology: Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XIII, 205 p. 165 illus., 134 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031357374.Subject(s): Electronic circuits | Artificial intelligence | Internet of things | Electronic Circuits and Systems | Artificial Intelligence | Internet of ThingsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.3815 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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. In addition, this book: 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.
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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.

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. In addition, this book: 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.

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