Concepts and Real-Time Applications of Deep Learning (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	EAI/Springer Innovations in Communication and Computing
Release date:	September 2021
First published:	2021
Editors:	Smriti Srivastava • Manju Khari • Ruben Gonzalez Crespo • Gopal Chaudhary • Parul Arora
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	209
Edition:	1st ed. 2021
ISBN-13:	978-3-03-076166-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-03-076166-5
Barcode:	9783030761660

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