This repository contains the code and documentation of a "Deep Learning practical session" given at ISAE-SUPAERO on December 2nd/3rd 2019
The introduction slides can be accessed at this URL website. It is recommended to read it first as it contains the necessary information to run this from scratch.
You can find a rough guideline and usage references in the jupyter notebooks in jupyter/
This hands on session is based on running code & training using Google Cloud Platform Deep Learning VMs, see gcp/
for examples on configuring your own machine. However, this is theoretically runnable everywhere since even data access in managed by the included python package.
Should you want to do this at home you can use Google Collaboratory instances: https://colab.research.google.com/
No support is guaranteed by the authors beyond the hands-on session.
This hands-on session was created by Florient Chouteau and Matthieu Le Goff.
See licence.md
for licence information.