Deep Learning: A Practical Introduction - Couverture rigide

Martinez-Ramon, Manel; Ajith, Meenu; Kurup, Aswathy Rajendra

Couverture rigide

ISBN 10 : 1119861861 ISBN 13 : 9781119861867

Editeur : John Wiley & Sons Inc, 2024

Synopsis

"Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network."--

A propos du livre

À propos de l'auteur

Manel Martínez-Ramón, PhD, is King Felipe VI Endowed Chair and Professor in the Department of Electrical and Computer Engineering at the University of New Mexico in the United States. He earned his doctorate in Telecommunication Technologies at the Universidad Carlos III de Madrid in 1999.

Meenu Ajith, PhD, is a Postdoctoral Research Associate in Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) at Georgia State University, Georgia Institute of Technology, and Emory University. She earned her doctorate degree in Electrical Engineering from the University of New Mexico in 2022. Her research interests include machine learning, computer vision, medical imaging, and image processing.

Aswathy Rajendra Kurup, PhD, is a Data Scientist at Intel Corporation. She earned her doctorate degree in Electrical Engineering from the University of Mexico in 2022. Her research interests include image processing, signal processing, deep learning, computer vision, data analysis and data processing.

Détails de l'édition

• Éditeur: John Wiley & Sons Inc
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 1119861861
• ISBN 13: 9781119861867
• Reliure: Relié
• Nombre de pages: 416
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible