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Gradient descent
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151	Appendix B Chain-rule propagation algorithms B.1 Add to Reading List Source URL: www.q12.org Language: English - Date: 2002-03-13 22:41:13 Matrix theory Gradient descent Matrix calculus Matrix Perceptron Algebra Mathematics Numerical analysis
152	15 Optimization Once you’ve gathered your data, selected a representation to work with, chosen a framework for function approximation, specified an error metric, and expressed your prior beliefs about the model, then Add to Reading List Source URL: fab.cba.mit.edu Language: English - Date: 2014-04-29 10:51:08 Nelder–Mead method Mathematical optimization Conjugate gradient method Gradient descent Simplex Numerical analysis Operations research Mathematics
153	Chapter 7 lecture questions Q1: For the MLP NN model, you want to replace the nonlinear optimization using gradient descent methods by GA instead. What should the fitness function be? Answer: Since MLP NN minimizes the m Add to Reading List Source URL: www.ocgy.ubc.ca - Date: 2013-10-21 15:15:05
154	Case Study 1: Estimating Click Probabilities Intro Logis+c Regression Gradient Descent + SGD Machine Learning for Big Data Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-03-31 00:33:09 Actuarial science Logistic function Statistics Econometrics Regression analysis
155	Case Study 1: Estimating Click Probabilities Intro Logis+c Regression Gradient Descent + SGD Machine Learning for Big Data Add to Reading List Source URL: courses.cs.washington.edu Language: English - Date: 2015-03-31 15:00:34 Actuarial science Regression analysis Regression Support vector machine Statistics Econometrics Statistical classification
156	Large Scale Distributed Deep Networks Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y. Ng {jeff, gcorr Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-13 14:54:36 Computational statistics Applied mathematics Mathematics Econometrics Network architecture Supervised learning Stochastic gradient descent Limited-memory BFGS Mathematical optimization Neural networks Statistics Computational neuroscience
157	A Stochastic PCA Algorithm with an Exponential Convergence Rate Ohad Shamir Weizmann Institute of Science [removed] Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:27:48 Stochastic optimization Singular value decomposition Linear algebra Matrix theory Multivariate statistics Principal component analysis Stochastic approximation Mathematical optimization Stochastic gradient descent Algebra Mathematics Statistics
158	Learning with stochastic proximal gradient Lorenzo Rosasco ∗ DIBRIS, Universit`a di Genova Via Dodecaneso, [removed]Genova, Italy Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:36 Stochastic optimization Operations research Stochastic gradient descent Stochastic approximation Gradient descent Gradient method Subgradient method Convex optimization Numerical analysis Mathematical optimization Mathematical analysis
159	Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli Stanford University {jascha,benpoole,sganguli}@stanford.edu Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-13 10:45:07 Stochastic optimization Quasi-Newton method Gradient descent Stochastic gradient descent BFGS method Limited-memory BFGS Stochastic approximation Hessian matrix Perceptron Numerical analysis Mathematical optimization Mathematical analysis
160	engineering pipelines for learning at scale Benjamin Recht University of California, Berkeley + Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2015-02-24 16:30:13 Stochastic gradient descent Pipeline Mathematical optimization Regression analysis Statistics Statistical classification Support vector machine

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