Deep Learning as Neural Low-Degree Filtering: A Spectral Theory of Hierarchical Feature Learning
arXiv:2605.13612v1 Announce Type: cross
Abstract: Understanding how deep neural networks learn useful internal representations from data remains a central open problem in the theory of deep learning. We introduce Neural Low-Degree Filtering (Neural Lo…