I am new to the domain of Machine learning. I have been asked to present a paper related to the mathematics behind the depth separations in Neural Networks (by Itay Safran, Ronen Eldan and Ohad Shamir). I have been having a hard time in understanding the paper.
I am looking for easy papers to learn the foundation so that I can move on to this paper. Please drop the link to any papers that you think I should read first.