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Number Systems for Deep Neural Network Architectures de Thanos Stouraitis

Number Systems for Deep Neural Network Architectures: Synthesis Lectures on Engineering, Science, and Technology

Autor Thanos Stouraitis
en Limba Engleză Paperback – 19 sep 2024
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).
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Specificații

ISBN-13: 9783031381355
ISBN-10: 3031381351
Pagini: 94
Dimensiuni: 168 x 240 mm
Editura: Springer International Publishing AG
Seria Synthesis Lectures on Engineering, Science, and Technology