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

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

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International Edition


About the Book

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.
About the Author:

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 Master's 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 22-24, 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.


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Product Details
  • ISBN-13: 9781032391656
  • Publisher: Taylor & Francis Ltd
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Sub Title: Techniques and Use Cases
  • Width: 156 mm
  • ISBN-10: 1032391650
  • Publisher Date: 22 May 2023
  • Height: 234 mm
  • No of Pages: 226
  • Spine Width: 16 mm
  • Weight: 575 gr


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