Research - A Gentle Introduction to Deep Learning with Python and R

Machine learning methods are nowadays used in a wide variety of applications such as image and text classification, and weather forecasting. In this course, you will learn how a very popular method, namely Deep Learning (or Neural Network), works and may be applied in practice by using either Python or R programming.


Acquire the key competencies that are needed to apply deep learning methods to simple datasets

Target audience

Any PhD students, post-docs, researchers of UNIL who would like to use deep learning methods in their research


At the end of the course, the participants are expected to:


1 half-day


Every 6 months


To be defined or remotely


The practicals can be done on your laptop (but you will need to install the required libraries), on the EPFL JupyterLab, or on the UNIL cluster called Curnagl. See the installation page for more information.


IMPORTANT: Please register using your UNIL email address!

Course dates and registration

Revision #11
Created 3 November 2020 17:02:03 by PW
Updated 30 September 2022 12:13:32 by Philippe Jacquet