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Multi-faceted Deep Learning: Models and Data 2021 edition
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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 | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 21 oktober 2022 |
| ISBN13 | 9783030744809 |
| Utgivare | Springer Nature Switzerland AG |
| Antal sidor | 316 |
| Mått | 150 × 220 × 10 mm · 504 g |
| Språk | Tyska |
| Redaktör | Benois-Pineau, Jenny |
| Redaktör | Zemmari, Akka |