On the regularization of convolutional kernel tensors in neural networks

DOI10.1080/03081087.2020.1795058OpenAlexW3045256655WikidataQ114100588 ScholiaQ114100588MaRDI QIDQ5095242

Pei-Chang Guo, Qiang Ye

Publication date: 5 August 2022

Published in: Linear and Multilinear Algebra (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.04866

zbMATH Keywords

penalty functiongeneralizabilitytransformation matrixunstable gradientconvolutional layers

Mathematics Subject Classification ID

Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Artificial intelligence (68Txx)

Uses Software

• ARPACK

Cites Work

• Computing singular values of large matrices with an inverse-free preconditioned Krylov subspace method
• Matrix Algorithms
• ARPACK Users' Guide
• Conjugate Gradient Methods for Toeplitz Systems
• Augmented Implicitly Restarted Lanczos Bidiagonalization Methods

This page was built for publication: On the regularization of convolutional kernel tensors in neural networks