Singular Value Decomposition and Neural Networks

Published 27 Jun 2019 in cs.LG, cs.NA, math.NA, and stat.ML | (1906.11755v1)

Abstract: Singular Value Decomposition (SVD) constitutes a bridge between the linear algebra concepts and multi-layer neural networks---it is their linear analogy. Besides of this insight, it can be used as a good initial guess for the network parameters, leading to substantially better optimization results.

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