Deep Learning Classes - January

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)

Invited Talks:

• Sidonie Lefèvre (ONERA/DOTA): Machine learning methods for analysis of aircraft infra-red features

• Thibaut Castaings (ONERA/DTIS): Machine learning methods for space observation

• Olivier Sigaud (UPMC/ISIR): From Machine Learning to Deep Learning with a focus on regression and reinforcement learning