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  Adam (Adaptive Moment Estimation) Information Adam (Adaptive Moment Estimation) is a stochastic gradient descent optimization algorithm commonly used for training deep neural networks. It is an adaptive learning rate optimization algorithm that combines the advantages of both AdaGrad and RMSProp optimizers. The algorithm maintains an exponentially decaying average of past gradients and past squared gradients to compute the adapt.. Zettelkasten/Terminology Information 2023. 3. 24.