Towards Convolutional Neural Network Acceleration and Compression Based on <i>Simon</i><i>k</i>-Means

Towards Convolutional Neural Network Acceleration and Compression Based on <i>Simon</i><i>k</i>-Means

Convolutional Neural Networks (CNNs) are popular models that are widely used in image classification, target recognition, and other fields. Model compression is a common step in transplanting neural networks into embedded devices, and it is often used in the retraining stage. However, it requires a...

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Bibliographic Details
Main Authors: Mingjie Wei, Yunping Zhao, Xiaowen Chen, Chen Li, Jianzhuang Lu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
convolutional neural networks
deep learning
k-means
model compression
weight quantization
Online Access:https://www.mdpi.com/1424-8220/22/11/4298

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