| Titre : |
Learning deep learning : theory and practice of neural networks, computer vision, natural language processing, and transformers using tensorflow |
| Type de document : |
Livre |
| Auteurs : |
Magnus EKMAN (19..-....), Auteur |
| Editeur : |
ADDISON-WESLEY |
| Année de publication : |
2022 |
| Importance : |
688 p. |
| Présentation : |
ill. en coul., fig., couv. ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-0-13-747035-8 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
BASE DE DONNEES ; INFORMATIQUE
|
| Résumé : |
All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."--From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA"Ekman uses a learning technique that in our experience has proven pivotal to successasking the reader to think about using DL techniques in practice. |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=585619 |
|  |
Learning deep learning / ADDISON-WESLEY (2022)
