Free Book Resource: 'Geometric Deep Learning' Systematically Explains Math and Models
Cole Medin · youtube · 2026-08-07
A tweet recommended a free, open-access book titled "Geometric Deep Learning."
The book focuses on the mathematics behind neural networks that process data with underlying geometric structures. It is divided into two main parts: the first covers essential mathematical foundations like high-dimensional learning, inductive bias, the curse of dimensionality, geometric priors, symmetries, and manifolds. The second part delves into mainstream geometric deep learning models, including Graph Neural Networks (GNNs), group-equivariant CNNs, Deep Sets, Transformers, and mesh CNNs.
Related event: Free Book "Geometric Deep Learning" Offers Mathematical Foundations for AI(3 posts)→
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