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.
Author supplied keywords
Cite
CITATION STYLE
APA
Bermeitinger, B., Hrycej, T., & Handschuh, S. (2019). Singular Value Decomposition and Neural Networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11728 LNCS, pp. 153–164). Springer Verlag. https://doi.org/10.1007/978-3-030-30484-3_13
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free