Seminar

Past

Deep residual networks and differential equations

MAD-Stat. Seminar

Gérard Biau

  • Date21 November 2024
  • Time 11h00 - 12h15
  • Room Auditorium 3

Abstract

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.

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