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Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology Ghada Alsuhli 2024 edition
Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology
Ghada Alsuhli
Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS).
94 pages, 28 Illustrations, color; 2 Illustrations, black and white; XI, 94 p. 30 illus., 28 illus.
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 2. septembra 2023 |
| ISBN13 | 9783031381324 |
| Založniki | Springer International Publishing AG |
| Strani | 94 |
| Dimenzije | 150 × 220 × 20 mm · 385 g |
| Jezik | Nemščina |