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Concepts and real-time applications of deep learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Concepts and real-time applications of deep learningedited by Smriti Srivastava ... [et al.].
other author:	Srivastava, Smriti.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 209 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-3-030-76167-7
ISBN:	9783030761677$q(electronic bk.)

Concepts and real-time applications of deep learning
Concepts and real-time applications of deep learning[electronic resource] /edited by Smriti Srivastava ... [et al.]. - Cham :Springer International Publishing :2021. - x, 209 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8609. - EAI/Springer innovations in communication and computing..

Introduction -- AI Techniques based on Modern Deep Learning architectures -- Application of Deep learning in Optimization and Regression -- Deep learning in Pattern recognition -- Application of Deep Learning in Healthcare systems for diagnosing disease -- Application of Deep Learning for Security and threats -- Deep Learning Framework and Tools -- Advancements in Deep Learning -- Multidisciplinary Applications of Machine/Deep Learning -- Conclusion.

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.

ISBN: 9783030761677$q(electronic bk.)

Standard No.: 10.1007/978-3-030-76167-7doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5 / .C66 2021

Dewey Class. No.: 006.31

Concepts and real-time applications of deep learning
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245 0 0 $a Concepts and real-time applications of deep learning $h [electronic resource] / $c edited by Smriti Srivastava ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 209 p. : $b ill., digital ; $c 24 cm.
490 1 $a EAI/Springer innovations in communication and computing, $x 2522-8609
505 0 $a Introduction -- AI Techniques based on Modern Deep Learning architectures -- Application of Deep learning in Optimization and Regression -- Deep learning in Pattern recognition -- Application of Deep Learning in Healthcare systems for diagnosing disease -- Application of Deep Learning for Security and threats -- Deep Learning Framework and Tools -- Advancements in Deep Learning -- Multidisciplinary Applications of Machine/Deep Learning -- Conclusion.
520 $a This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.
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650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
700 1 $a Srivastava, Smriti. $3 907170
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)