A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs

Gadi Naveh, Zohar Ringel

Deep neural networks (DNNs) in the infinite width/channel limit have received much attention recently, as they provide a clear analytical window to deep learning via mappings to Ga…