Neural Networks, Gradient Descent.
Neural ents but it is done via backpropagation) Update: Update x by taking a step in the direction opposite to the gradient: x=x−αf’(x), where α is the learning rate, a positive scalar determining the step size. Iteration: Repeat the gradient calculation and update steps until x converges to a