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Workshop

Tropical Geometry and Neural Networks

Abstract

Tropical Geometry is the geometry that is underlying ReLU neural networks, a class of networks which are heavily used in machine learning today. In the first part of this talk I will give an idea about the relation of these networks to tropical geometry, and how tropical geometry can contribute in understanding the geometry of neural networks. In the second part I will present first results of ongoing work regarding classication problems within this framework.

Mirke Olschewski

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Laura Casabella

Max Planck Institute for Mathematics in the Sciences