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

Once per year

Location

In presential

Practicals

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

Prerequisites

IMPORTANT: To do the practicals
- On UNIL JupyterLab: You need to be able to access the eduroam wifi with your UNIL account or via the UNIL VPN
- On your laptop: No account requirement
- On Curnagl: Please register using your UNIL email address
- Note that in all cases you need to bring your own laptop


Course dates and registration



Revision #16
Created 3 November 2020 17:02:03 by PW
Updated 31 January 2024 08:26:00 by Philippe Jacquet