Applicability of Random Matrix Theory in Deep Learning.

Nicholas P. Baskerville Diego Granziol Jonathan P. Keating

Published in: CoRR (2021)

Keyphrases

deep learning
random matrix theory
unsupervised learning
unsupervised feature learning
correlation matrix
machine learning
weakly supervised
mental models
restricted boltzmann machine
deep architectures
real world
learning algorithm
image processing
viewpoint
domain specific
natural images