Advanced Chemical Engineering Science
Adam optimizer is an advanced optimization algorithm used in machine learning, particularly in training deep learning models. It combines the benefits of two other popular algorithms, AdaGrad and RMSProp, to adaptively adjust the learning rate for each parameter, which leads to faster convergence and improved performance. This makes it especially useful for complex problems like molecular simulations, where parameter tuning is critical for accurate predictions.
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