Scroll below for tutorials, datasets, and exploring invariances for causal extrapolations.
G-Invariant Neural Networks:
A complete beginner's guide with step-by-step examples
In this step-by-step tutorial we introduce the mathematical foundations of the most common type of group-invariant representation learning. Examples include learning invariant representations of graphs and images.Go to tutorial »