Deep Learning Classes - June

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:

• Introduction and Feature extraction by Bertrand Le Saux (Slides in French)

• Classification and Support-Vector Machines by Alexandre Boulch (Slides in French)

• Neural Networks by Bertrand Le Saux (Slides and Slides in French)

• Deep Learning by Alexandre Boulch (Slides in French)

Invited Talks:

• Marina Gruet (ONERA/DPhIEE): Neural networks for space weather prediction (Slides)

• Jérôme Morio (ONERA/DTIS): Aerial traffic data analysis for risk evaluation (Slides)

• Philippe Besse (INSA Toulouse/IMT): From statistician to data scientist (Slides)