These full-day seminars are intended to give understanding of the key-concepts of machine learning and deep learning to an audience of engineers and research scientists. They are organized as a half-day tutorial to give theoretical basics and a half-day workshop with invited talks about more applied topics.
Slides for Deep Learning classes:
Principles of Machine Learning by Bertrand Le Saux (Slides in French)
Classification and Support-Vector Machines by Stéphane Herbin (Slides in French)
Neural Networks by Adrien Chan-Hon-Tong (Slides in French)
Deep Learning by Alexandre Boulch (Slides in French)