Deep learning for NLP and speech recognition
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Deep learning for NLP and speech recognition
Uday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning for Deep learning for NLP and speech recognition r NLP and Speech RecognitionSpringerUday KarnathDigital Reasoning Systems Inc. McLeanVA. USAJames WhitakerDigital Reasoning Systems Inc. McLeanVA. USAJohn LiuIntelluron CorporationNashvilleTN. USAISBN 978-3-030-14595-8 ISBN 978-3-030-14596-5 (eBook) https://doi.Ofg/10.1007/978-3-030-14596-5Ô Springe Deep learning for NLP and speech recognition r Nature Switzerland AG 2019This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material isDeep learning for NLP and speech recognition
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting. reproduction on microfilms or in any Uday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning for Deep learning for NLP and speech recognition dology now known Of 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 Deep learning for NLP and speech recognition 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 trDeep learning for NLP and speech recognition
ue and accurate at Ilk* date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect toUday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning for Deep learning for NLP and speech recognition ims in published maps arxl institutional affiliations.This Sponger imprint is published by the registered company Springer Nature Switzerland AG.The registered company address is: Gcwcrbcstrasse 11.6330 Cham. SwitzerlandTo my parents Krishna and Bharathi. my wife Pratibha, the kids Aaroh and Brandy, Deep learning for NLP and speech recognition my family and friends for their support.-Uday Kama thTo Catherine. Gabrielle Kaili-May, Eugene and Tina for inspiring me always.-John LiuTo my motherDeep learning for NLP and speech recognition
Nancy for her constant support, my family, and my friends who have blessed my life with love.-James WhitakerForewordThe publication of this hook is aUday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning for Deep learning for NLP and speech recognition edented analysis and comparison of deep learning techniques for natural language and speech processing, closing the substantial gap between theory and practice. Each chapter discusses the theory underpinning the topics, and an exceptional collection of 13 case studies in different application areas Deep learning for NLP and speech recognition is presented. They include classification via distributed representation, summarization, machine translation, sentiment analysis, transfer learning, mDeep learning for NLP and speech recognition
ultitask NLP. end-to-end speech, and question answering. Each case study includes the implementation and comparison of state-of-the-art techniques, anUday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning for Deep learning for NLP and speech recognition thods and can deepen their understanding of the methods by applying them to real-world scenarios.This book offers a comprehensive coverage of deep learning, from its foundations to advanced and recent topics, including word embedding, convolutional neural networks. recurrent neural networks, attenti Deep learning for NLP and speech recognition on mechanisms, memory-augmented networks. multitask learning, domain adaptation, and reinforcement learning. The book is a great resource for practitiDeep learning for NLP and speech recognition
oners and researchers both in industry and academia, and the discussed case studies and associated material can serve as inspiration for a variety of Uday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning forUday Kamath • John Liu • James WhitakerDeep Learning for NLP and Speech Recognition4b SpringerUday Kamath • John Liu • James WhitakerDeep Learning forGọi ngay
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