Question

Please note: the questions are for Scientific Computing Class:

Please illustrate gradient method with an example

Answer 1

A. Mini Batch Gradient Descent It It is a combination of both batch gradient descent stochastic gradient descent, gradient descent. . It performs update for batch of observations. It is the algorithon of choice for newna) networks & the Batch usually an. sizes ane from 50 to 256. nov no D How to mi make sure it works way 10 make sure runs properly. A good gradient descent runs properly ise by plotting the cost function as the optimization Put the number of iterations on the X-anis A the value of it the cost function on the anis. This helps you see the value of cost function after each iteration of gradient noite descent & provides way to easily aspot to how appropriate your un learning rate is. If orking properly, the cost function should decrease after every very yo worki un gradient, descent is wor iteration,