Enhancing Accuracy in Deep Learning Using Random Matrix Theory.

Leonid Berlyand Etienne Sandier Yitzchak Shmalo Lei Zhang

Published in: CoRR (2023)

Keyphrases

deep learning
random matrix theory
machine learning
computational cost
unsupervised learning
unsupervised feature learning
weakly supervised
learning algorithm
deep architectures
learning strategies