The Levenberg-Marquardt Algorithm - UC Santa Barbara

The Levenberg-Marquardt Algorithm Ananth Ranganathan 8th June 2004 1 Introduction The Levenberg-Marquardt (LM) algorithm is the most widely used optimization algorithm. It outperforms simple gradient descent and other conjugate gradient methods in a wide variety of problems. This document aims to provide an intuitive explanation for this ...

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TensorFlow: A System for Large-Scale Machine Learning

Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng Google Brain Abstract TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. Tensor-Flow uses dataflow graphs to represent computation,

  System, Large, Scale, Machine, Learning, Flows, Tensor, Tensorflow, Levenberg, System for large scale machine learning, Tensor flow

X. Algorithmes d’optimisation - University of Lausanne

Cours MATLAB UNIL-FGSE – Hiver 2009-2010 X. Algorithmes d’optimisation Auteur : Maria Güell i Pons 4 / 14 c) xn+1 − xn <ε2 Différence entre deux approximations successives Où ε1,ε2 ε2 ∈ℜ sont les tolérances et sont choisies en fonction du type de problème. En général, ce sont des valeurs négligeables (εi ≈10-4-10-6). 3.