Capa do artigo Number Systems For Deep Neural Network Architectures

Number Systems For Deep Neural Network Architectures

by Baker Mohammad, Thanos Stouraitis, Vasilis Sakellariou, Mahmoud Al-Qutayri, Ghada Alsuhli e Hani Saleh
language: english
Publisher: Springer International Publishing AG, September of 2024 ‧
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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).

Number Systems For Deep Neural Network Architectures

by Baker Mohammad, Thanos Stouraitis, Vasilis Sakellariou, Mahmoud Al-Qutayri, Ghada Alsuhli e Hani Saleh

Property Description
ISBN: 9783031381355
Publisher: Springer International Publishing AG
Release Date: September of 2024
Language: English
Dimensions: 168 x 240 x 20 mm
Cover: Softcover
Pages: 94
Format: Book
Collection: Synthesis Lectures On Engineering, Science, And Technology
Categories: Books in English > Science > Mathematics
EAN: 9783031381355

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