Latency-driven design for FPGA-based convolutional neural networks

In recent years, Convolutional Neural Networks (ConvNets) have become the quintessential component of several state-of-the-art Artificial Intelligence tasks. Across the spectrum of applications, the performance needs vary significantly, from high-throughput image recognition to the very low-latency...

Full description

Bibliographic Details

Published in:	International Conference on Field-programmable Logic and Applications pp. 1 - 8
Main Authors:	Venieris, Stylianos I., Bouganis, Christos-Savvas
Format:	Conference Proceeding
Language:	English
Published:	Ghent University 01.09.2017
Subjects:	Biological system modeling Computational modeling Convolution Feature extraction Field programmable gate arrays Machine learning Space exploration
ISSN:	1946-1488
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!