Deep Learning Research Applications for Natural Language Processing - Couverture rigide

Couverture rigide

ISBN 10 : 1668460017 ISBN 13 : 9781668460016

Editeur : IGI Global, 2022

Synopsis

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.

A propos du livre

À propos de l?auteur

S. Geetha received the B.E. from the Madurai Kamaraj University, M.E., and Ph.D. degrees in Computer Science and Engineering from Anna University, Chennai, in 2000, 2004 and 2011 respectively. She has 14+ years of teaching experience. Currently, she is a professor at School of Computing Science and Engineering at VIT-University, Chennai Campus. She has published more than 50 papers in reputed IEEE International Conferences and refereed Journals. She joins the review committee for IEEE Transactions on Information Forensics and Security and IEEE Transactions on Image Processing, Springer Multimedia Tools and Security, Elsevier - Information Sciences. She was an editor for the Indian Conference proceedings of ICCIIS 2007 and RISES-2013. Her research interests include multimedia security, intrusion detection systems, machine learning paradigms and information forensics. She is a recipient of University Rank and Academic Topper Award in B.E. and M.E. in 2000 and 2004 respectively. She is also a pride recipient of the "Best Academic Researcher Award 2013" of ASDF Global Awards.

Détails de l'édition

• Éditeur: IGI Global
• Date d'édition: 2022
• ISBN 10: 1668460017
• ISBN 13: 9781668460016
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 290
• Éditeur: Ashok Kumar L., Karthika Renuka Dhanaraj, Geetha S.
• Coordonnées du fabricant: non disponible