Number Systems for Deep Neural Network Architectures - Synthesis Lectures on Engineering, Science, and Technology - Ghada Alsuhli - Books - Springer International Publishing AG - 9783031381355 - September 19, 2024
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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).

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 19, 2024
ISBN13 9783031381355
Publishers Springer International Publishing AG
Pages 94
Dimensions 150 × 220 × 10 mm   ·   197 g
Language German  

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