2023-03-22
This R package accompanies the post Implementing rotation equivariance: Group-equivariant CNN from scratch, published as part of a series on group-equivariant convolutional neural networks. The spirit is that of Geometric Deep Learning, a principled, math-driven approach to neural-network design.
The package’s code is mostly a port of a notebook provided as part of University of Amsterdam’s 2022 Deep Learning Course. Thank you guys for making available such excellent learning materials.
To install, type:
remotes::install_github("skeydan/gcnn")