From 9ab6caae6fd56c2e3f7a1ea44e1b045b9131811d Mon Sep 17 00:00:00 2001 From: Erwei Wang Date: Sun, 6 May 2018 10:59:30 +0100 Subject: [PATCH] add citation information for FCCM proceedings --- README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/README.md b/README.md index 60baceb..bc1a2b5 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,16 @@ PYNQ Classification - Python on Zynq FPGA for Convolutional Neural Networks (Alp ## BRIEF DESCRIPTION: This repository presents a fast prototyping framework, which is an Open Source framework designed to enable fast deployment of embedded Convolutional Neural Network (CNN) applications on PYNQ platforms. +## CITATION: +If you make use of this code, please acknowledge us by citing [our article](https://spiral.imperial.ac.uk/handle/10044/1/57937): + + @inproceedings{Wang_FCCM18, + author={E. Wang and J. J. Davis and P. Y. K. Cheung}, + booktitle={IEEE Symposium on Field-programmable Custom Computing Machines (FCCM)}, + title={{A PYNQ-based Framework for Rapid CNN Prototyping}}, + year={2018} + } + ## INSTRUCTIONS TO BUILD AND TEST THE PROJECT: ### Repository Organisation