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.

Objectives

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

Content

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

Length

1 half-day

Organization

Every 6 months

Location

To be defined or remotely

Practicals

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.

Prerequisites

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