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Multi-faceted Deep Learning: Models and Data 2021 edition
Multi-faceted Deep Learning: Models and Data
This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed.
316 pages, 10 Tables, color; 66 Illustrations, color; 20 Illustrations, black and white; XII, 316 p.
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 21 octobre 2022 |
| ISBN13 | 9783030744809 |
| Éditeurs | Springer Nature Switzerland AG |
| Pages | 316 |
| Dimensions | 150 × 220 × 10 mm · 504 g |
| Langue et grammaire | Allemand |
| Éditeur | Benois-Pineau, Jenny |
| Éditeur | Zemmari, Akka |