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Number Systems For Deep Neural Network Architectures eBook
language: english
Publisher:
Springer Nature Switzerland, September of 2023 ‧
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SYNOPSIS
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).
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9783031381331 |
| Publisher: | Springer Nature Switzerland |
| Release Date: | September of 2023 |
| Language: | English |
| Format: | eBook |
| File Format and Compatibility: | |
| Collection: | Synthesis Lectures On Engineering, Science, And Technology |
| Categories: |
eBooks in English
>
Science
>
Mathematics
|
| EAN: | 9783031381331 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
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