An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet

An Efficient FPGA-Based Convolutional Neural Network for Classification: Ad-MobileNet

Convolutional Neural Networks (CNN) continue to dominate research in the area of hardware acceleration using Field Programmable Gate Arrays (FPGA), proving its effectiveness in a variety of computer vision applications such as object segmentation, image classification, face detection, and traffic si...

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Bibliographic Details
Main Authors: Safa Bouguezzi, Hana Ben Fredj, Tarek Belabed, Carlos Valderrama, Hassene Faiedh, Chokri Souani
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Electronics
Subjects:
FPGA
MobileNet
depthwise separable convolution
CNN
deep learning
Online Access:https://www.mdpi.com/2079-9292/10/18/2272

Internet

https://www.mdpi.com/2079-9292/10/18/2272

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