Approximate greatest descent in neural network optimization

DOI10.3934/NACO.2018021zbMath1405.68294OpenAlexW2810028058WikidataQ129552256 ScholiaQ129552256MaRDI QIDQ1713241

King Hann Lim, Hong Hui Tan, Hendra G. Harno

Publication date: 24 January 2019

Published in: Numerical Algebra, Control and Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/naco.2018021

zbMATH Keywords

neural networkmultilayer perceptronmachine learningtwo-phase optimizationapproximate greatest descent

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

A survey of gradient methods for solving nonlinear optimization

Cites Work

• Unnamed Item
• Greatest descent algorithms in unconstrained optimization
• Large-Scale Machine Learning with Stochastic Gradient Descent
• Learning Deep Architectures for AI

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