On transversality of bent hyperplane arrangements and the topological expressiveness of ReLU neural networks

J. Elisenda Grigsby, Kathryn Lindsey

Let F:R^n -> R be a feedforward ReLU neural network. It is well-known that for any choice of parameters, F is continuous and piecewise (affine) linear. We lay some foundations for…