nach der Bestellung gedruckt Neuware - Printed after ordering - Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

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T�tulo: Deep Learning Research Applications for Natural Language Processing
Editor: IGI Global
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 1668460025
ISBN 13: 9781668460023
Encuadernaci�n: Taschenbuch
Estado: Neu
Dimensiones: 280�mil�metros de ancho por 216 de alto por 17 de largo
Peso: 809 gramos

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Sinopsis

Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in artificial intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as deep learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists, software engineers, IT managers, computer scientists, students and faculty of higher education, libraries, researchers, and academicians.

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Dr. L. Ashok Kumar was a 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, Govt 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 are in progress worth about 12 Crores. 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 Eight Centres of Excellence at PSG Tech 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. Centre for Excellence in Solar Thermal Systems. His PhD work on wearable electronics earned him a National Award from 1STE and he has received 26 awards in the National and in international level. 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, India, and Masters in Business Administration from IGNOU, New Delhi. After 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 a Professor in the Department of EEE, PSG College of Technology. He is also a 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 the Chairman of Indian Association of Energy Management Professionals and Executive Member in institution of Engineers, Coimbatore Executive Council Member in Institute of Smart Structure and Systems. Bangalore, Associate Member in CODISSIA. He is also holding prestigious positions in various national and International forums and he is a Fellow Member in IET (UK), Fellow Member In IETE, Fellow Member IE and Senior Member in IEEE.

Dr. D. Karthika Renuka (Dhanaraj Karthika Renuka) is working as Professor in Department of Information Technology, PSG College of Technology. Her professional career of 19 years has been with PSG College of Technology since 2004. 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), Govt. of India and implemented by the Indo-U.S. Science & Technology Forum (IUSSTF). She was a Postdoctoral Research Fellow from Wright State University, Ohio, USA. She has received “Women Scientist Award” under the category of Machine learning on May30th, 2021 from HUMCEN Awards. Her area of specializations includes Data Mining, Evolutionary Algorithms, Soft Computing, Machine Learning and Deep Learning, Affective Computing, Computer Vision. She is a reviewer for Computers and Electrical Engineering, Elsevier, Wiley Book chapter, Springer Book Chapters on "Knowledge Computing and its Applications". She has authored a book titled “Deep Learning using Python”, Wiley India Pvt Ltd. She has published several papers in reputed National and International journals and conferences.

S. Geetha (Senior Member, IEEE) is currently a Professor and the Associate Dean, Research with the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, India. She received the B.E. degree in Computer Science and Engineering from Madurai Kamaraj University, India, in 2000, and the M.E. degree in Computer Science and Engineering and the Ph.D. degree from Anna University, Chennai, India, in 2004 and 2011, respectively. Her research interests include steganography, steganalysis, multimedia security, intrusion detection systems, machine learning paradigms, computer vision and information forensics. She has more than 20 years of rich teaching and research experience. She has published more than 100 papers in reputed international conferences and refereed journals like IEEE, Springer, Elsevier publishers. She joins the Review Committee and the Editorial Advisory Board of reputed journals. She has given many expert lectures, keynote addresses at international and national conferences. She has organized many workshops, conferences, and FDPs. She was a recipient of the University Rank and Academic Topper Award in her B.E. and M.E. degrees, in 2000 and 2004, respectively. She was also the proud recipient of the ASDF Best Academic Researcher Award 2013, the ASDF Best Professor Award 2014, the Research Award in 2016, and the High Performer Award 2016, Best Women Researcher Award 2021.

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