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

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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 Books     Hardcover Book   (Book with hard spine and cover)
Released September 2, 2023
ISBN13 9783031381324
Publishers Springer International Publishing AG
Pages 94
Dimensions 150 × 220 × 20 mm   ·   385 g
Language German  

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