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cs.LG2023
Universal Approximation and the Topological Neural Network
Michael A. Kouritzin, Daniel Richard
A topological neural network (TNN), which takes data from a Tychonoff topological space instead of the usual finite dimensional space, is introduced. As a consequence, a distributi…
cs.LG2023
A Bootstrap Algorithm for Fast Supervised Learning
Michael A Kouritzin, Stephen Styles, Beatrice-Helen Vritsiou
Training a neural network (NN) typically relies on some type of curve-following method, such as gradient descent (GD) (and stochastic gradient descent (SGD)), ADADELTA, ADAM or lim…