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Number Systems For Deep Neural Network Architectures 1st Edition Alsuhli

  • SKU: BELL-55471892
Number Systems For Deep Neural Network Architectures 1st Edition Alsuhli
$ 31.00 $ 45.00 (-31%)

4.8

54 reviews

Number Systems For Deep Neural Network Architectures 1st Edition Alsuhli instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.57 MB
Pages: 105
Author: Alsuhli, Ghada, Sakellariou, Vasilis, Saleh, Hani, Al-Qutayri, Mahmoud, Mohammad, Baker, Stouraitis, Thanos
ISBN: 9783031381324, 9783031381331, 3031381327, 3031381335
Language: English
Year: 2023
Edition: 1

Product desciption

Number Systems For Deep Neural Network Architectures 1st Edition Alsuhli by Alsuhli, Ghada, Sakellariou, Vasilis, Saleh, Hani, Al-qutayri, Mahmoud, Mohammad, Baker, Stouraitis, Thanos 9783031381324, 9783031381331, 3031381327, 3031381335 instant download after payment.

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. 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). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting the challenges associated with each number system and various solutions that are proposed for addressing them.

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