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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 31. janvāris |
| ISBN13 | 9783030359737 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 174 |
| Izmēri | 150 × 220 × 10 mm · 454 g |
| Valoda | Vācu |