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Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology Ghada Alsuhli 2024 edition
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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).
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 19. september 2024 |
| ISBN13 | 9783031381355 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 94 |
| Mål | 150 × 220 × 10 mm · 197 g |
| Språk | Tysk |
Se alt med Ghada Alsuhli ( f.eks. Innbunden bok og Pocketbok )