A High Performance Reconfigurable Hardware Architecture for Lightweight Convolutional Neural Network
Since the lightweight convolutional neural network EfficientNet was proposed by Google in 2019, the series of models have quickly become very popular due to their superior performance with a small number of parameters. However, the existing convolutional neural network hardware accelerators for Effi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/12/13/2847 |