Learning Functors using Gradient Descent

15 Sep 2020 Bruno Gavranović

Neural networks are a general framework for differentiable optimization which includes many other machine learning approaches as special cases. In this paper we build a category-theoretic formalism around a neural network system called CycleGAN... (read more)

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