• Complain

Kumar L. Ashok - Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision

Here you can read online Kumar L. Ashok - Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2023, publisher: Taylor & Francis Group, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Kumar L. Ashok Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theory and the applications using case studies with code, experiments, and supporting analysis.FeaturesCovers latest developments in deep learning techniques as applied to audio analysis, computer vision, and NLP Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing Discovers deep learning frameworks and libraries for NLP, speech and computer vision in Python Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials, and real-world case studies with codes to provide hands-on experience.This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Kumar L. Ashok: author's other books


Who wrote Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision? Find out the surname, the name of the author of the book and a list of all author's works by series.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Bookmarks
Guide
Pagelist
Deep Learning Approach for Natural Language Processing Speech and Computer - photo 1
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.

Features:

  • Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing.
  • Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing.
  • Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python.
  • Gives insights into using the tools and libraries in Python for real-world applications.
  • Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.

This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision Techniques and Use Cases

L. Ashok Kumar and D. Karthika Renuka

First edition published 2023 by CRC Press 6000 Broken Sound Parkway NW Suite - photo 2

First edition published 2023

by CRC Press

6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 334872742

and by CRC Press

4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN

CRC Press is an imprint of Taylor & Francis Group, LLC

2023 L. Ashok Kumar and D. Karthika Renuka

Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.

Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.

For permission to photocopy or use material electronically from this work, access

Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.

ISBN: 978-1-032-39165-6 (hbk)
ISBN: 978-1-032-39166-3 (pbk)
ISBN: 978-1-003-34868-9 (ebk)

DOI: 10.1201/9781003348689

Typeset in Times
by Apex CoVantage, LLC

Dedication

To my wife Ms. Y. Uma Maheswari and daughter A. K. Sangamithra, for their constant support and love.

Dr. L. Ashok Kumar

To my parents Mr. N. Dhanaraj and Ms. D. Anuradha, who laid the foundation for all my success, to my husband Mr. R. Sathish Kumar and my daughter P.S. Preethi for their unconditional love and support for competition of this book, and to my friend, brother and co-author of this book Dr. L. Ashok Kumar, who has been highly credible and my greatest source of motivation and as a pillar of inspiration.

Dr. D. Karthika Renuka

Contents
About the Authors

L. Ashok Kumar was Postdoctoral Research Fellow from San Diego State University, California. He was selected among seven scientists in India for the BHAVAN Fellowship from the Indo-US Science and Technology Forum, and, also, he received SYST Fellowship from DST, Government of India. He has 3 years of industrial experience and 22 years of academic and research experience. He has published 173 technical papers in international and national journals and presented 167 papers in national and international conferences. He has completed 26 Government-of-India-funded projects worth about 15 crores, and currently 9 projects worth about 12 crores are in progress. He has developed 27 products, and out of that 23 products have been technology-transferred to industries and for government-funding agencies. He has created six Centres of Excellence at PSG College of Technology in collaboration with government agencies and industries, namely, Centre for Audio Visual Speech Recognition, Centre for Alternate Cooling Technologies, Centre for Industrial Cyber Physical Systems Research Centre for Excellence in LV Switchgear, Centre for Renewable Energy Systems, Centre for Excellence in Solar PV Systems, and Centre for Excellence in Solar Thermal Systems. His PhD work on wearable electronics earned him a national award from ISTE, and he has received 26 awards in national and in international levels. He has guided 92 graduate and postgraduate projects. He has produced 6 PhD scholars, and 12 candidates are doing PhD under his supervision. He has visited many countries for institute industry collaboration and as a keynote speaker. He has been an invited speaker in 345 programs. Also, he has organized 102 events, including conferences, workshops, and seminars. He completed his graduate program in Electrical and Electronics Engineering from University of Madras and his post-graduate from PSG College of Technology, Coimbatore, India, and Masters in Business Administration from IGNOU, New Delhi. After the completion of his graduate degree, he joined as Project Engineer for Serval Paper Boards Ltd. Coimbatore (now ITC Unit, Kova). Presently, he is working as Professor in the Department of EEE, PSG College of Technology. He is also Certified Chartered Engineer and BSI Certified ISO 50001 2008 Lead Auditor. He has authored 19 books in his areas of interest published by Springer, CRC Press, Elsevier, Nova Publishers, Cambridge University Press, Wiley, Lambert Publishing, and IGI Global. He has 11 patents, one design patent, and two copyrights to his credit and also contributed 18 chapters in various books. He is also Chairman of Indian Association of Energy Management Professionals and Executive Member in the Institution of Engineers, Coimbatore Executive Council Member in Institute of Smart Structure and Systems. Bangalore, and Associate Member in the Coimbatore District Small Industries Association (CODISSIA). He is also holding prestigious positions in various national and international forums, and he is Fellow Member in IET (UK), Fellow Member in IETE, Fellow Member in IE, and Senior Member in IEEE.

D. Karthika Renuka is Professor in the Department of Information Technology in PSG College of Technology. Her professional career of 18 years has been with PSG College of Technology since 2004. She is Associate Dean (Students Welfare) and Convenor for the Students Welfare Committee in PSG College of Technology. She is a recipient of Indo-U.S. Fellowship for Women in STEMM (WISTEMM)Women Overseas Fellowship program supported by the Department of Science and Technology (DST), Government of India, and implemented by the Indo-U.S. Science & Technology Forum (IUSSTF). She was Postdoctoral Research Fellow from Wright State University, Ohio, USA. Her area of specializations includes Data Mining, Evolutionary Algorithms, Soft Computing, Machine Learning and Deep Learning, Affective Computing, and Computer Vision. She has organized an international conference on Innovations in Computing Techniques on January 2224, 2015 (ICICT2015), and national conference on Information Processing and Remote Computing on February 27 and 28, 2014 (NCIPRC 2014). Reviewer for Computers and Electrical Engineering for Elsevier and Wiley book chapter and Springer book chapters on Knowledge Computing and its Applications, she is currently guiding eight research scholars for their PhD under Anna University, Tamil Nadu, Chennai. She has published several papers in reputed national and international journals and conferences.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision»

Look at similar books to Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision»

Discussion, reviews of the book Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.