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Deep In-memory Architectures for Machine Learning Mingu Kang 2020 edition
Deep In-memory Architectures for Machine Learning
Mingu Kang
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs.
174 pages, 95 Tables, color; 65 Illustrations, color; 39 Illustrations, black and white; X, 174 p. 1
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 31 januari 2021 |
| ISBN13 | 9783030359737 |
| Uitgevers | Springer Nature Switzerland AG |
| Pagina's | 174 |
| Afmetingen | 150 × 220 × 10 mm · 454 g |
| Taal en grammatica | Duits |