Concepts and Real-Time Applications of Deep Learning (1st ed. 2021) (EAI/Springer Innovations in Communication and Computing)

By: Smriti Srivastava and Manju Khari and Ruben Gonzalez Crespo and Gopal Chaudhary and Parul Arora

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Synopsis: 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.

Book Quality:: Publisher Quality
ISBN-13:: 9783030761677
Related ISBNs:: 9783030761660
Publisher:: Springer International Publishing
Date of Addition:: 10/25/21
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics, Communication
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Smriti Srivastava
Edited by:: Manju Khari
Edited by:: Ruben Gonzalez Crespo
Edited by:: Gopal Chaudhary
Edited by:: Parul Arora