Advances in Deep Learning (eBook)

Artikelnummer: 978-981-1367-94-6
Einband: PDF
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This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.


This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.


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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2019
Seitenangabe149 S.
AusgabekennzeichenEnglisch
AbbildungenXIV, 149 p. 87 illus., 53 illus. in color.
Masse6'771 KB
PlattformPDF
ReiheStudies in Big Data; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorWani, M. Arif / Bhat, Farooq Ahmad / Afzal, Saduf / Khan, Asif Iqbal

Alle Bände der Reihe "Studies in Big Data; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

Über den Autor M. Arif Wani

Dr. M. Arif Wani received an M. Tech. degree in Computer Technology from the Indian Institute of Technology, Delhi, and a Ph.D. degree in Computer Vision from Cardiff University, UK. Currently, he is a Professor at the University of Kashmir, having previously served as a Professor at California State University, Bakersfield. His research interests are in the area of machine learning, with a focus on neural networks, deep learning, inductive learning, support vector machines, computer vision, pattern recognition, and classification tasks. He has published many papers in reputed journals and conferences in these areas. Dr. Wani has co-authored the book 'Advances in Deep Learning', and co-edited many books on Machine Learning and Deep Learning applications. He is a member of many academic and professional bodies.   Sarwat Ali has a Bachelor's and Master's degree in Computer Applications from the University of Kashmir, Hazratbal, Srinagar. She has worked as a Research Associate in the Artificial Intelligence Research Center project supported by Rashtriya Uchchatar Shiksha Abhiyan (RUSA 2.0), an initiative of the Government of India. Currently, she is dedicated to her Ph.D. studies in Neural Architecture Search (NAS) at the Post Graduate Department of Computer Science (PGDCS), University of Kashmir. She has contributed to publications in prestigious journals and research conferences in this specialized field. Sarwat's academic journey has been marked by achievements, including the receipt of gold medals for both her Bachelor's and Master's degrees from the University of Kashmir. She has also achieved success in the (University Grants Commission National Eligibility Test) UGC NET examination.   Mukhtar Ahmad Sofi received MCA and M.Tech. in Computer Science and engineering degrees from Pondicherry Central University and a Ph.D. in Computer Science from the University of Kashmir. Currently, he is an Assistant Professor in the Information Technology Department at the BVRIT Hyderabad College of Engineering for Women. Dr. Sofi's diverse research interests span data mining, machine learning, deep learning, natural language processing, computational biology, and bioinformatics. He has made notable contributions to these areas through numerous research articles published in prestigious academic journals and presentations at internationally acclaimed conferences. Dr. Sofi continues to make impactful contributions to the academic and research community.   Bisma Sultan earned a B.Tech. in Computer Science and Engineering from the University of Kashmir, an M.Tech. in Computer Science from the University of Jammu, and completed her Ph.D. in Computer Science at the University of Kashmir. She qualified National Eligibility Test (NET) and the Graduate Aptitude Test in Engineering (GATE). She served as a Senior Research Fellow in the Department of Computer Sciences at the University of Kashmir. Currently, she holds a faculty position within the Department of Computer Sciences at the University of Kashmir. Dr. Bisma's research interests encompass a broad spectrum of fields, including machine learning, deep learning, information security, web technologies, and networking. She has made contributions to these areas by publishing a number of research articles in high-ranking academic journals and conferences.

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