An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning

Anastasis Kratsios, Chong Liu, Matti Lassas +2

Motivated by the developing mathematics of deep learning, we build universal functions approximators of continuous maps between arbitrary Polish metric spaces $\mathcal{X}$ and $\m…