Advances in Deep Learning, Volume 2 (Studies in Big Data #12)

By: M. Arif Wani and Bisma Sultan and Sarwat Ali and Mukhtar Ahmad Sofi

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Synopsis: This book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble deep learning, transfer learning techniques, lightweight architectures, hybrid deep learning approaches, and generative adversarial networks. The book discusses the use of these advanced topics in selected applications like image classification, object detection, image steganography, protein secondary structure prediction, and gene expression data classification. Various challenges and future research directions falling under the scope of these topics are discussed.

Book Quality:: Publisher Quality
ISBN-13:: 9789819634989
Related ISBNs:: 9789819634972
Publisher:: Springer Nature Singapore
Date of Addition:: 05/23/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.