AINeutralarXiv – CS AI · 7h ago5/10
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Deep Learning as the Disciplined Construction of Tame Objects
A mathematical research paper proposes that deep learning models can be understood through tame geometry (o-minimality), a mathematical framework that enables convergence guarantees for stochastic gradient descent in nonsmooth, nonconvex settings. This perspective offers a formal mathematical foundation for analyzing AI system behavior and training stability.