Question: Introduction to Deep Learning / gradient descent Problem 1 (50pts). Given a following deep neural network W X Z (2) (1, Relu) Figure 1: Numbers

Introduction to Deep Learning / gradient descent

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 = [x1, x2] = [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

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