Deep Learning-Powered Technologies (Record no. 85724)

000 -LEADER
fixed length control field 02914nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-35737-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164507.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230623s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031357374
-- 978-3-031-35737-4
082 04 - CLASSIFICATION NUMBER
Call Number 621.3815
100 1# - AUTHOR NAME
Author Mohamed, Khaled Salah.
245 10 - TITLE STATEMENT
Title Deep Learning-Powered Technologies
Sub Title Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIII, 205 p. 165 illus., 134 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Engineering, Science, and Technology,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-35737-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic circuits.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of things.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic Circuits and Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of Things.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2690-0327
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-- ZDB-2-SXSC

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