Marco Antonio Armenta Armenta (Université de Sherbrooke, Québec): The moduli space of a neural network
Abstract: In this talk I will introduce the notation required to model artificial neural networks in terms of quiver representations, and then show how the decisions of a neural network are competely determined by a space of orbits of quiver representations under the action of a reductive group, and therefore a moduli space.