Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
optimizer that seeks to solve some of the issues that Adagrad leaves open. Adam Adam stands for adaptive moment estimation, and is another way of using past gradients to calculate current gradients. Adam also utilizes the concept of momentum by adding fractions of previous gradients to the current