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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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | October 20, 2021 |
| ISBN13 | 9783030744779 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 316 |
| Dimensions | 150 × 220 × 20 mm · 639 g |
| Language | German |
| Editor | Benois-Pineau, Jenny |
| Editor | Zemmari, Akka |