The polytope theory of neural networks (also known as the "spline theory of deep learning") seeks to explain (ReLU) neural networks based on their piecewise linear regions. This gives a helpful intuition for how neural networks approximate functions, as well as a potential avenue for interpretability research. For anyone who wants to engage directly with the topic, I put together a small Colab notebook, with interactive 2D and 3D visuals.