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Topological Deep Learning: Classification Neural Networks
Topological deep learning is a formalism that is aimed at introducing topological language to deep learning for the purpose of utilizing the minimal mathematical structures to formalize problems that arise in a generic deep learning problem.
Cell Complex Neural Networks
Cell complexes are topological spaces constructed from simple blocks called cells.
A Topological Framework for Deep Learning
We utilize classical facts from topology to show that the classification problem in machine learning is always solvable under very mild conditions.
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