Machine Learning, Deep Learning, Stochastic Gradient, Data Science, Editors Pick.
need to pick a random point in the function, represented by the row vector w. 2. While the gradient hasn’t converged This is the iterative part of the algorithm, and the idea is to keep going until you’ve reached the minimum. But you won’t know when to stop. The whole reason why you’re running this