Problem 1 (50pts). Given a following deep neural network W x z (2) (1, Relu) Figure 1: Numbers in the parenthesis indicate the numbers of neurons. Assume x = [11, 12) = [2, 1], initial weights W = [W., W1,W2] = [1,2,3], learning rate n=0.1. Using standard gradient descent, compute W after 1 epoch. Problem 1 (50pts). Given a following deep neural network W x z (2) (1, Relu) Figure 1: Numbers in the parenthesis indicate the numbers of neurons. Assume x = [11, 12) = [2, 1], initial weights W = [W., W1,W2] = [1,2,3], learning rate n=0.1. Using standard gradient descent, compute W after 1 epoch