A homotopy training algorithm for fully connected neural networks
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Publication:5160822
DOI10.1098/rspa.2019.0662zbMath1472.68131arXiv1903.09872OpenAlexW3103609633WikidataQ91866738 ScholiaQ91866738MaRDI QIDQ5160822
Publication date: 29 October 2021
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1903.09872
neural networkhomotopy methodartificial intelligencecomputational mathematicsmachine learningtraining algorithm
Related Items (4)
Greedy training algorithms for neural networks and applications to PDEs ⋮ A gradient descent method for solving a system of nonlinear equations ⋮ A weight initialization based on the linear product structure for neural networks ⋮ A stochastic homotopy tracking algorithm for parametric systems of nonlinear equations
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