Any help with coding stochastic gradient descent here would be much appreciated

Now, let's try implementing stochastic gradient descent. Implement stoch_grad_desc below, which performs stochastic gradient descent. You should be able to copy most of your work from Question 3a. We will be using a static learning rate and a argument batch_size to represent the size of the minibatch to sample for each iteration. Recall that for a minibatch of the data with size b, the stochastic gradient descent update nJle is 1 b r+l) (r) f} 9' (9 a V9L(x,-,y,.,9