Keyword Analysis & Research: optimization function gradient descent

machinelearningmastery.com

https://machinelearningmastery.com/gradient-descent-optimization-from-scratch/

WEBOct 12, 2021 · Gradient descent is an optimization algorithm that follows the negative gradient of an objective function in order to locate the minimum of the function. It is a simple and effective technique that can be implemented with just a few lines of code. It …

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wikipedia.org

https://en.wikipedia.org/wiki/Gradient_descent

OverviewDescriptionSolution of a linear systemSolution of a non-linear systemCommentsModificationsExtensionsTheoretical propertiesGradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for finding a local minimum of a differentiable multivariate function. The idea is to take repeated steps in the opposite direction of the gradient (or approximate gradient) of the function at the current point, because this is the direction of steepest descent. Conversely, stepping in the direction of the gradient will lead to a local maximum of that function; …

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khanacademy.org

https://www.khanacademy.org/math/multivariable-calculus/applications-of-multivariable-derivatives/optimizing-multivariable-functions/a/what-is-gradient-descent

WEBGradient descent is an algorithm that numerically estimates where a function outputs its lowest values. That means it finds local minima, but not by setting ∇ f = 0 like we've …

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towardsdatascience.com

https://towardsdatascience.com/gradient-descent-algorithm-a-deep-dive-cf04e8115f21

WEBMay 22, 2021 · Gradient descent (GD) is an iterative first-order optimisation algorithm, used to find a local minimum/maximum of a given function. This method is commonly used in machine learning (ML) and …

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ruder.io

https://www.ruder.io/optimizing-gradient-descent/

WEBJan 19, 2016 · Gradient descent is the preferred way to optimize neural networks and many other machine learning algorithms but is often used as a black box. This post …

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towardsdatascience.com

https://towardsdatascience.com/gradient-descent-algorithm-a-deep-dive-cf04e8115f21

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ibm.com

https://www.ibm.com/topics/gradient-descent

WEBGradient descent is an optimization algorithm which is commonly-used to train machine learning models and neural networks. It trains machine learning models by minimizing errors between predicted and actual results.

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towardsdatascience.com

https://towardsdatascience.com/gradient-descent-explained-9b953fc0d2c

WEBMay 22, 2020 · Gradient Descent is an optimizing algorithm used in Machine/ Deep Learning algorithms. The goal of Gradient Descent is to minimize the objective convex function f (x) using iteration. Convex …

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