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The Hamilton-Jacobi Theory of Deep Learning

arXiv cs.LG · 6d ago Cached

This paper establishes an exact correspondence between neural network training and Hamilton-Jacobi initial-value problems, unifying deep learning architectures through a deformation parameter.

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