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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).
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 19. septembris |
| ISBN13 | 9783031381355 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 94 |
| Izmēri | 167 × 239 × 10 mm · 197 g |
| Valoda | Vācu |
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