Séminaire MAD-Stat

Deep Residual Networks and Differential Equations

by Mr Gérard BIAU (Université Sorbonne)

Europe/Paris
Auditorium 3 (Toulouse School of Economics)

Auditorium 3

Toulouse School of Economics

Description

Deep learning has become a prominent approach for many applications, such as computer vision or neural language processing. However, the mathematical understanding of these methods is still incomplete. A recent approach is to consider neural networks as discretized versions of differential equations. I will first give an overview of this emerging field and then discuss new results on residual neural networks, which are state-of-the-art deep learning models.