Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices-Reference-Cited by-同舟云学术

Minimum signed digit approximation for faster and more efficient convolutional neural network computation on embedded devices

Published:2022-12 Issue: Volume:36 Page:101153
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Zaman Kh Shahriya,Reaz Mamun Bin Ibne,Bakar Ahmad Ashrif Abu,Bhuiyan Mohammad Arif Sobhan,Arsad Norhana,Mokhtar Mohd Hadri Hafiz Bin,Md Ali Sawal Hamid

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference41 articles.

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