Machine Learning, Gradient Descent, Data Visualization, Data Science.
other methods can’t. In summary, gradient descent is a class of algorithms that aims to find the minimum point on a function by following the gradient. Vanilla gradient descent just follows the gradient (scaled by learning rate). Two common tools to improve gradient descent are the sum of gradient