Enhancing Accuracy in Deep Learning Using Random Matrix Theory

Leonid Berlyand, Etienne Sandier, Yitzchak Shmalo +1

We explore the applications of random matrix theory (RMT) in the training of deep neural networks (DNNs), focusing on layer pruning that is reducing the number of DNN parameters (w…