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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.
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 2 september 2023 |
| ISBN13 | 9783031381324 |
| Uitgevers | Springer International Publishing AG |
| Pagina's | 94 |
| Afmetingen | 150 × 220 × 20 mm · 385 g |
| Taal en grammatica | Duits |
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