1. [30 marks] (Perceptron training) Manually train a perceptron based on the instances below using the perceptron training rule. The initial values of weights are _ 0,w1-0, 2-0. The learning rate is 0.1. Please update each weight at least three times. otherwise Algorithm: Perceptron learning rule Let D CXi, ti 1,2,..., n be the set of training instances. 2: Initialize the weight vector with random values, 3 repeat 4: for each training instance (xi,t) ED Compute the predicted output o for each weight 6 Update the weight, ,-ay + (ti-ojXu end for end for 10: until sto condition is met X1 0 0 X2 0 0