Proof of a Universal Approximation Theorem for ReLU based Neural Networks and An Empirical Investigation of the Resulting Bound
In collaboration with Teodor-Andrei Andronache and Paula Gradu.
This is my capstone project for the class COS 511: Theoretical Machine Learning at Princeton University. Course description here: https://www.cs.princeton.edu/courses/archive/spring19/cos511/