Machine Learning, Gradient Descent, Data Visualization, Data Science.
of AdaGrad, however, is that it is incredibly slow. This is because the sum of gradient squared only grows and never shrinks. RMSProp (for Root Mean Square Propagation) fixes this issue by adding a decay factor. sum_of_gradient_squared = previous_sum_of_gradient_squared * decay_rate+ gradient² *