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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).
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 19. septembra 2024 |
| ISBN13 | 9783031381355 |
| Založniki | Springer International Publishing AG |
| Strani | 94 |
| Dimenzije | 167 × 239 × 10 mm · 206 g |
| Jezik | Nemščina |