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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 | Books Hardcover Book (Book with hard spine and cover) |
| Released | January 31, 2020 |
| ISBN13 | 9783030359706 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 174 |
| Dimensions | 150 × 220 × 20 mm · 439 g |
| Language | German |