Deep Learning: Fundamentals, Theory and Applications
The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most popular deep learning
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Kaizhu Huang · Amir Hussain Qiu-Feng Wang Rui Zhang Editors
Deep Learning: Fundamentals, Theory and Applications
Cognitive Computation Trends Volume 2
Series Editor Amir Hussain School of Computing Edinburgh Napier University Edinburgh, UK
Cognitive Computation Trends is an exciting new Book Series covering cuttingedge research, practical applications and future trends covering the whole spectrum of multi-disciplinary fields encompassed by the emerging discipline of Cognitive Computation. The Series aims to bridge the existing gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities. The broad scope of Cognitive Computation Trends covers basic and applied work involving bio-inspired computational, theoretical, experimental and integrative accounts of all aspects of natural and artificial cognitive systems, including: perception, action, attention, learning and memory, decision making, language processing, communication, reasoning, problem solving, and consciousness.
More information about this series at http://www.springer.com/series/15648
Kaizhu Huang • Amir Hussain • Qiu-Feng Wang Rui Zhang Editors
Deep Learning: Fundamentals, Theory and Applications
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Editors Kaizhu Huang Xi’an Jiaotong-Liverpool University Suzhou, China
Qiu-Feng Wang Xi’an Jiaotong-Liverpool University Suzhou, China
Amir Hussain School of Computing Edinburgh Napier University Edinburgh, UK Rui Zhang Xi’an Jiaotong-Liverpool University Suzhou, China
ISSN 2524-5341 ISSN 2524-535X (electronic) Cognitive Computation Trends ISBN 978-3-030-06072-5 ISBN 978-3-030-06073-2 (eBook) https://doi.org/10.1007/978-3-030-06073-2 Library of Congress Control Number: 2019930405 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature S
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