- 10h00-10h30 – Introduction to Deep Learning by Christophe Zimmer, Institut Pasteur
- 10h30-11h20 – From machine learning to deep learning with illustrations in cell cancer study via fluorescent microscopy by Ali Ahmad / David Rousseau, Université d’Angers
11h20- 11h40- Coffee break
- 11h40-12h30 – Machine Learning for Computational Phenotyping by Thomas Walter, Mines ParisTec
12h30-14h00 – Lunch break
- 14h00-14h50 – The advent of user-friendly machine learning and deep learning tools for biologists by Patrice Mascalchi, DRVision Technologies
- 14h50- 15h40 – Several deep learning projects at CMLA on image classification, semantic segmentation and objects detection (Automatic vehicle detection on satellite images, automatic diagnosis of cracks in walls…) by Sébastien Drouyer, CMLA
- 15h40- 16h30 – Deep learning for enhanced imaging and deep learning for the masses by Christophe Zimmer, Institut Pasteur
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