Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology - Ghada Alsuhli - Bøker - Springer International Publishing AG - 9783031381324 - 2. september 2023
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Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology 2024 edition

Ghada Alsuhli

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Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology 2024 edition

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 Bøker     Innbunden bok   (Bok med hard rygg og stivt omslag)
Utgitt 2. september 2023
ISBN13 9783031381324
Utgivere Springer International Publishing AG
Antall sider 94
Mål 385 g
Språk Tysk  

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