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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:

  • Understand how the deep learning (neural network) algorithm works
  • Run a simple machine learning code in Python or R
  • Be able to choose properly the hyper-parameters of the model


1 half-day


Every 6 months


To be defined or remotely


The Deep Learning practicals should be done on the UNIL cluster called Curnagl. If you do not have any account, we will create an account for you automatically so that you can do the practicals on Curnagl.


  • Basic knowledge of statistics, including simple linear algebra techniques such as vectors, matrices and matrix multiplication
  • Be confortable with either Python or R programming

IMPORTANT: Please register using your UNIL email address!


Course dates and registration