NAS (Neural Architecture Search) is the automated construction of Deep Learning architectures targeted towards given tasks. This competition aims to test NAS algorithms on new and unknown datasets to evaluate whether NAS is able to adapt to problems outside the datasets used for standard benchmark experimentation.
To take part or for more information, please visit the competition website: http://www.nascompetition.com/
Starter Kit:
https://github.com/Towers-D/NAS-Comp-Starter-Kit
Join the Discord:
https://discord.gg/xThb6rKKW5
Contact:
nas-competition-contact@newcstle.ac.uk