Machine Learning, Gradient Descent, Data Visualization, Data Science.
of the sum of gradient squared and uses that to adapt the gradient in different directions. Often the equations are expressed in tensors. I will avoid tensors to simplify the language here. For each dimension: sum_of_gradient_squared = previous_sum_of_gradient_squared + gradient² delta =