Comparison of Vitis-AI and FINN for implementing convolutional neural networks on FPGA

Comparison of Vitis-AI and FINN for implementing convolutional neural networks on FPGA

Convolutional neural networks (CNNs) are essential for image classification and detection, and their implementation in embedded systems is becoming increasingly attractive due to their compact size and low power consumption. Field-Programmable Gate Arrays (FPGAs) have  emerged as a promising option,...

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Bibliographic Details
Main Authors: Nicolás Urbano Pintos, Héctor Lacomi, Mario Lavorato
Format: Article
Language:English
Published: Universidad de Buenos Aires 2024-12-01
Series:Revista Elektrón
Subjects:
fpga
cnn
finn
vitis-ai
cuantización
Online Access:http://elektron.fi.uba.ar/index.php/elektron/article/view/200
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