Number Systems for Deep Neural Network Architectures

by Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh

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...

• Format: Hardcover
• Language: English
• ISBN: 3031381327
• ISBN13: 9783031381324
• Release Date: September 2023
• Publisher: Springer
• Length: 94 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.5" x 6.7" x 9.6"