Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding

Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding

Stochastic Computing has attracted extensive attention in the deployment of neural networks at the edge due to its low hardware cost and high fault tolerance. However, traditional stochastic computing requires a long random bit stream to achieve sufficient numerical precision. The long bit stream, i...

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Bibliographic Details
Main Authors: Tiance Tong, Qiang He, Xiaofei Nie, Yudi Zhao
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
stochastic computing
deterministic encoding
neural networks
image recognition
Online Access:https://www.mdpi.com/1424-8220/25/10/3127
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