Is Deep Learning a Renormalization Group Flow?

Understand

Although there has been a rapid development of practical applications, theoretical explanations of deep learning are in their infancy.

• Deep learning performs a sophisticated coarse graining.
• Since coarse graining is a key ingredient of the renormalization group (RG), RG may provide a useful theoretical framework directly relevant to deep learning.
• In this study we pursue this possibility.