In the optional lab, you’ll see a review of the gradient descent algorithm, as well as how to implement it in code.
You will also see a plot that shows how the cost decreases as you continue training more iterations. And you’ll also see a contour plot, seeing how the cost gets closer to the global minimum as gradient descent finds better and better values for the parameters w and b.