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Description

Ce livre présente aux lecteurs les concepts de base et avancés des modèles de réseaux profonds. Il couvre les architectures profondes de pointe que de nombreux chercheurs utilisent actuellement pour surmonter les limites des réseaux neuronaux artificiels traditionnels. Divers modèles d'architecture profonde et leurs composants sont discutés en détail, puis illustrés par des algorithmes et des applications choisies. De plus, le livre explique en détail l'approche d'apprentissage par transfert pour une formation plus rapide des modèles profonds ; l'approche est également démontrée sur de grands volumes de données d'empreintes digitales et d'images du visage. En conclusion, il traite de l'ensemble unique de problèmes et de défis associés à ces modèles.
Pages
149 pages
Collection
n.c
Parution
2019-03-14
Marque
Springer
EAN papier
9789811367939
EAN PDF
9789811367946

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
6769 Ko
Prix
189,89 €
EAN EPUB
9789811367946

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
24013 Ko
Prix
189,89 €

Prof. M. Arif Wani completed his M.Tech. in Computer Technology at the Indian Institute of Technology, Delhi and his PhD in Computer Vision at 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 main research interests are in gene expression datasets, face recognition techniques/algorithms, artificial neural networks and deep architectures. He has published many papers in reputed journals and conferences in these areas. He was honored with The International Technology Institute Award in 2002 by the International Technology Institute, California, USA. He is a member of many academic and professional bodies, e.g. the Indian Society for Technical Education, Computer Society of India, IEEE USA and Optical Society of America.

Dr. Farooq Ahmad Bhat completed his MPhil and PhD in Computer Science at the University of Kashmir. His dissertation focusedon ‘Efficient and robust convolutional neural network based models for face recognition’. Currently, his main interests are in artificial intelligence, machine learning and deep learning, areas in which he has published many articles.

Dr. Saduf Afzal teaches at the Islamic University of Science and Technology, Kashmir, India. She completed her BCA, MCA, MPhil and PhD at the Department of Computer Science, University of Kashmir. She has also worked as an academic counselor for the MCA program at IGNOU University. Her main research interests are in machine learning, deep learning and neural networks. She has published many articles in high-impact journals and conference proceedings.

Dr. Asif Iqbal Khan currently works as a Lecturer in the Higher Education Department, Kashmir, India. He completed his MCA, MPhil and PhD at the Department of Computer Science, University of Kashmir. His main research interests are in machine learning, deep learning, and image processing. He is actively publishing in these areas.


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