Webinars for Beginners

Since last year the pandemic situation did not allow us to prepare a proper Deep Learning School, we had recorded for you, webinars on “Deep Learning foundation”.

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 40’ to 50’. 
You need to be registered to the Deep Learning School 2021, to be able to watch the webinars.

  • 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 these lectures, but if you have basics in vectors and derivatives, it will be easier.


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.