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Created page with "== Introduction == The Adam optimizer is a widely used optimization algorithm in the field of machine learning and deep learning. It stands for Adaptive Moment Estimation and is designed to handle sparse gradients on noisy problems. Adam combines the advantages of two other extensions of stochastic gradient descent: the adaptive learning rate method of AdaGrad and the momentum method of RMSProp. This optimizer is particularly popular due to its compu..."