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portada Number Systems for Deep Neural Network Architectures
Type
Physical Book
Collection
Synthesis Lectures on Engineering, Science, and Technology
Year
2024
Pages
94
Format
Paperback
Dimensions
24x16.8 cm
ISBN13
9783031381355

Number Systems for Deep Neural Network Architectures

Baker Mohammad;Vasilis Sakellariou;Thanos Stouraitis;Mahmoud Al-Qutayri;Hani Saleh;Ghada Alsuhli (Author) · Springer International Publishing AG · Paperback

Number Systems for Deep Neural Network Architectures - Baker Mohammad;Vasilis Sakellariou;Thanos Stouraitis;Mahmoud Al-Qutayri;Hani Saleh;Ghada Alsuhli

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Synopsis "Number Systems for Deep Neural Network Architectures"

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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