Titlebook: Number Systems for Deep Neural Network Architectures; Ghada Alsuhli,Vasilis Sakellariou,Thanos Stouraiti Book 2024 The Editor(s) (if appli

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Ghada Alsuhli,Vasilis Sakellariou,Hani Saleh,Mahmoud Al-Qutayri,Baker Mohammad,Thanos Stouraitisks of Guy Brousseau are known through texts referring to them or mentioning their existence, the original texts are unknown, or known only with difficulty, in the non-Fren- speaking world. With very few exceptions, what has been available until now have been interpretations of the works of Brousseau

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Ghada Alsuhli,Vasilis Sakellariou,Hani Saleh,Mahmoud Al-Qutayri,Baker Mohammad,Thanos StouraitisBrousseau are known through texts referring to them or mentioning their existence, the original texts are unknown, or known only with difficulty, in the non-Fren- speaking world. With very few exceptions, what has been available until now have been interpretations of the works of Brousseau rather th

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Introduction,ent number systems for Deep Neural Networks (DNNs) and their impact on hardware design and performance are emphasized. In addition, we list the various number systems that will be discussed in detail in the subsequent chapters. Finally, we outline the organization of the book with a summary of the c

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LNS for DNN Architectures,ogarithm operation characteristics in implementing efficient hardware for costly arithmetic operations, such as multiplication which is massively required for DNNs. The chapter explains the proposals for LNS-based DNNs architectures and classifies them. Different classes are widely discussed and the