deeplearning4astronomy Course - Intelligence artificielle pour l'astrophysique à l'époque du big-data

25-29 March 2019 @ Observatoire de Paris

Main entrance is at 77 Av. Denfert Rochereau

This is the main page for the course "Intelligence artificielle pour l'astrophysique à l'époque du big-data" at the Ecole Doctorale ED-127. The course will consist of lecutres in the mornings followed by tuorial sessions in the afternoons.

Location

• M: Morning: Salle J.F Denisse (Observatoire) Afternoon: Salle du Conseil (IAP)
• Tu: Morning: Salle J. F. Denisse (Observatoire) Afternoon: Salle Danjon (Observatoire)
• W: Salle Danjon (Observatoire)
• Th: Morning: Salle des Séminaires (IAP) // Afternoon: Salle J.F. Denisse (Observatoire)
• F: Morning: Salle J.F. Denisse Afternoon: Salle des Séminaires

Topics that will be covered

• Introudction to classical supervised machine learning (RFs, SVMs, ANNs)
• Supervised deep learning: Convolutional Neural Networks
• Encoder-Decoders
• Introduction to unsupervised machine learning (clustering, dimensionality reduction)
• Generative Models (VAEs, GANs).

Requirements for the tutorials

Please set up your environemnt before starting the course. See Installation Guidelines and follow steps 1 and 2 (+ 3 if you have an Nvidia GPU)