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Nguyen et al., 2022 - Google Patents

A low-power, high-accuracy with fully on-chip ternary weight hardware architecture for Deep Spiking Neural Networks

Nguyen et al., 2022

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Document ID
17390300263254682913
Author
Nguyen D
Tran X
Dang K
Iacopi F
Publication year
Publication venue
Microprocessors and Microsystems

External Links

Snippet

Abstract Recently, Deep Spiking Neural Network (DSNN) has emerged as a promising neuromorphic approach for various AI-based applications, such as image classification, speech recognition, robotic control etc. on edge computing platforms. However, the state-of …
Continue reading at opus.lib.uts.edu.au (PDF) (other versions)

Classifications

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