Deep learning and its applications using Python / [edited by] Niha Kamal Basha... and [and 3 others]

Contributor(s): Basha, Niha K [editor.] | Bhatia, Surbhi, 1988- [editor.] | Kumar, Abhishek [editor.] | Mashat, Arwa [editor.]
Language: English Publisher: Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing, 2023Copyright date: ©2023Description: 1 online resource (256 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781394166466 ; 9781394167791; 1394167792; 9781394167784; 1394167784Subject(s): Deep learning (Machine learning) | Python (Computer program language)Genre/Form: Electronic books.DDC classification: 006.3/1 LOC classification: Q325.73 | .D44 2023Online resources: Full text is available at Wiley Online Library Click here to view Summary: This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
006.31 D3607 2023 (Browse shelf) Available
Total holds: 0

Includes bibliographical references and index.

This book thoroughly explains deep learning models and how to use Python programming to implement them in applications such as NLP, face detection, face recognition, face analysis, and virtual assistance (chatbot, machine translation, etc.). It provides hands-on guidance in using Python for implementing deep learning application models. It also identifies future research directions for deep learning.

About the Author
Niha Kamal Basha is an assistant professor in the Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Science and Technology, India. She has received a number of awards and published numerous research articles in peer-reviewed journals.

Surbhi Bhatia, PhD, is an assistant professor in the Department of Information Systems, College of Computer Sciences and Information Technology, King Faisal University, Saudi Arabia. She has more than 10 years of teaching experience in different universities in India and Saudi Arabia. She has published many articles in peer-reviewed journals, authored or edited 9 books, and has been granted 8 national and international patents.

Abhishek Kumar gained his PhD in computer science from the University of Madras, India in 2019. He is assistant director/associate professor in the Computer Science & Engineering Department, Chandigarh University, Punjab, India. He has more than 100 publications in peer-reviewed international and national journals, books & conferences. His research interests include artificial intelligence, image processing, computer vision, data mining, and machine learning.

Arwa Mashat, gained her PhD in Instructional Design and Technology from Old Dominion University, Virginia, USA in 2017. She has a rich 14 years of teaching and academic experience. She is currently an assistant professor at the College of Computing and Information Technology, King Abdulaziz University, Saudi Arabia. She is currently the Vice Dean for two colleges; the College of Computing and Information Technology and the Applied College at King Abdulaziz University. She has published many research papers in reputed journals.

There are no comments for this item.

to post a comment.