RMSprop (Root Mean Square Propagation)

Abstract

RMSprop (Root Mean Square Propagation) is a widely used optimization algorithm in machine learning, adapting the learning rate for each parameter based on historical gradients. This article at OpenGenus provides an overview of RMSprop's workings using analogies, and its advantages over traditional gradient descent and AdaGrad. It concludes with insights into some disadvantages, current applications and future prospects for refining and extending it in diverse machine learning domains.

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