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Titlebook: Concepts and Real-Time Applications of Deep Learning; Smriti Srivastava,Manju Khari,Parul Arora Book 2021 The Editor(s) (if applicable) an

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书目名称Concepts and Real-Time Applications of Deep Learning
编辑Smriti Srivastava,Manju Khari,Parul Arora
视频videohttp://file.papertrans.cn/235/234907/234907.mp4
概述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 solution
丛书名称EAI/Springer Innovations in Communication and Computing
图书封面Titlebook: Concepts and Real-Time Applications of Deep Learning;  Smriti Srivastava,Manju Khari,Parul Arora Book 2021 The Editor(s) (if applicable) an
描述.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..
出版日期Book 2021
关键词Deep learning; Machine Learning; Artificial Intelligence; Multi-agent learning; Intelligent control of r
版次1
doihttps://doi.org/10.1007/978-3-030-76167-7
isbn_softcover978-3-030-76169-1
isbn_ebook978-3-030-76167-7Series ISSN 2522-8595 Series E-ISSN 2522-8609
issn_series 2522-8595
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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