Appendices for the ICML paper “Optimizing Neural Networks with Kronecker-factored Approximate Curvature” A - Trust metric - Document - PDFSEARCH.IO

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	Appendices for the ICML paper “Optimizing Neural Networks with Kronecker-factored Approximate Curvature” A Add to Reading List Document Date: 2015-06-03 15:15:50 Open Document File Size: 1,10 MB Share Result on Facebook Company Optimizing Neural Networks / / IndustryTerm usual backpropagation algorithm / online/stochastic optimization / matrix-vector products / outer products / neural network / machine learning applications / computing / optimization algorithm / control systems / example neural network / / Person Kronecker / Ai / / Position empirical Fisher / empirical Fisher information matrix / Fisher / such as HF / associated inverse Fisher / Fisher / approximate Fisher / Forward / standard Fisher / Fisher information matrix / inverse Fisher / / Product Bang & Olufsen Form 2 Headphone/Headset / / Technology machine learning / neural network / resulting optimization algorithm / optimization algorithm / usual backpropagation algorithm / 1 An algorithm / / SocialTag Estimation theory Levenberg–Marquardt algorithm Fisher information Trust region Cumulant Chain rule Derivative Hessian matrix Metric tensor Mathematical analysis

Appendices for the ICML paper “Optimizing Neural Networks with Kronecker-factored Approximate Curvature” AAdd to Reading List