## Group-equivariant neural networks with escnn

Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Learning, provides a high-level interface to designing and training group-equivariant neural networks. This post introduces important mathematical concepts, the library’s key actors, and essential library use. Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all about; how equivariance is operationalized; and why it is of relevance to many deep-learning applications. The second sought to concretize the key ideas by developing a group-equivariant CNN from scratch. That being instructive, but too tedious for practical use, today we look at a carefully designed, highly-performant library that hides the technicalities and enables…

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