In response to the pandemic, this year the UCA DLS is replacing its “Deep Learning” Summer School with a fully virtual program. This program will be online and safe, free of charge, open to more attendees and participants will be able to attend online and at their own time.
Whether you are a researcher, an Engineer, an expert in “Deep Learning” or eager to learn more about those new capabilities essential for the future, this program is for you. It includes:

  • A series of 4 online webinars “Deep Learning foundations “; this format allows you to attend at your convenience and learn at your pace;
  • 5 “Expert Labs “moderated by subject matter experts; those will take place from 2-5pm every afternoon from July 6-10  

 “Deep Learning foundation” online recorded webinars  

The 4 modules below are dedicated to beginners who have heard about neural networks and machine learning without knowing exactly how it works.
Each module ranges in duration for 45’’ to 55’’.

Webinar 1: we will start by a general and brief overview of what is machine learning, followed by explaining the first model of artificial neuron and its difference with the biological model.

Webinar 2: we will then present why putting this neuron in a network and how to train an artificial neural network.

Webinar 3: we will explain why evolving towards deep neural networks and what specific optimization techniques and tips and tricks these models require to converge.

Webinar 4: we will then go through the different kind of deep neural networks, the different structures, to give you a global view of all possibilities of deep learning.

There is no specific requirement to follow this lecture, but if you have basics in vectors, and derivatives, it will be easier. Even if the access is free this year, you need to register to access the webinars.




Frederic Precioso

Since 2011, Frederic Precioso is Professor at Université Côte d'Azur, lecturer at the École d'ingénieur Polytech'Nice Sophia, member of the SPARKS (Scalable and Pervasive softwARe and Knowledge Systems) team of the I3S UMR 7271 CNRS-UNS laboratory. He is member of Maasai, a Joint Research Project between INRIA-CNRS-UCA. His main research interests are: Machine learning, Deep Learning, for many application domain. Since September 2018, he is Scientific and Program Officer for AI at the National Research Agency (ANR) for both State Investment Programmes Division and Digital Technology and Mathematics Dept.

Lecture on Deep Learning Foundation