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Stochastic Gradient Descent (SGD) and Adam are the 2 most commonly used optimization methods. The goal is to reduce back error in such a method https://www.globalcloudteam.com/ that the model generalizes unseen information well. RMSprop (Root Imply Sq Propagation) adjusts the learning price based on recent gradients, successfully negating the vanishing studying price problem often encountered
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