Machine learning/Deep learning for Biology

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Machine learning/Deep learning for Biology

January 30 @ 10 h 00 min - 16 h 30 min

The event take place at the Campus Saint-Germain on January 30 2020

  • 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

Registration

Details

Date:
January 30
Time:
10 h 00 min - 16 h 30 min
Event Category:
Website:
https://www.biomedicale.parisdescartes.fr/thematic-day-machine-learning-deep-learning-for-biology/

Organizer

Paris Descartes University
Website:
https://www.parisdescartes.fr

Venue

Université de Paris – Campus Saint-Germain-des-Près