Adam
Adam is not a term in Data Science or Artificial Intelligence. However, in the context of AI and Data Science, Adam can refer to a popular optimization algorithm called Adaptive Moment Estimation (Adam). Adam is an algorithm used for stochastic gradient descent optimization, which is commonly used in deep learning. It is an extension of the stochastic gradient descent algorithm that computes individual adaptive learning rates for different parameters from estimates of first and second moments of the gradients. This allows the algorithm to converge faster and more efficiently than traditional stochastic gradient descent algorithms.
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