Understanding the 3 Primary Types of Gradient Descent
Gradient descent is the most commonly used optimization method deployed in machine learning and deep learning algorithms. It’s used to train a machine learning model and is based on a convex function. Through an iterative process, gradient descent refines a set of parameters through use of partial differential equations, or... Read more