A categorical algebra for deep learning that formalizes broadcasting via axis-stride and array-broadcasted categories and supplies matching Python and TypeScript implementations.
The classical result from Fox (1976) relates Cartesian to monoidal categories
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Weaves, Wires, and Morphisms: Formalizing and Implementing the Algebra of Deep Learning
A categorical algebra for deep learning that formalizes broadcasting via axis-stride and array-broadcasted categories and supplies matching Python and TypeScript implementations.