Number Systems for Deep Neural Network Architectures
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- Hardcover
- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 63.90
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Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
01.09.2023
Verlag
SpringerSeitenzahl
94 (Printausgabe)
Dateigröße
2645 KB
Sprache
Englisch
EAN
9783031381331
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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