A High Performance Reconfigurable Hardware Architecture for Lightweight Convolutional Neural Network

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...

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Bibliographic Details
Main Authors: Fubang An, Lingli Wang, Xuegong Zhou
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
lightweight convolutional neural network
EfficientNet
reconfigurable hardware architecture
FPGA implementation
Online Access:https://www.mdpi.com/2079-9292/12/13/2847

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