Machine Learning, Deep Learning, Stochastic Gradient, Data Science, Editors Pick.
If your function were a mountain, the gradient always wants to reach the summit. To see how the gradient always goes in the direction of greatest increase you can code a simple test in Python. Define a quadratic function and then compute the gradient a few times. def gradient_loop(runs=3): """