Before revision: Group equivariant convolutional neural networks (G-CNNs) have recently emerged as a very effective model class for learning from signals in the context of known symmetries.
After revision: We present a general theory of Group equivariant Convolutional Neural Networks (G-CNNs) have recently emerged as a very effective model class for learning from signals in the context of known symmetries.