Perceptron Learning Algorithm Explained | What is Perceptron Learning Algorithm

1. [30 marks] (Perceptron training) Manually train a perceptron based on the instancesbelow using the perceptron training rule. The initial values of weights are ω0 = 0, ω1 = 0, ω2 = 0. The learning rate η is 0.1. Please update each weight at leastthree times.o(x) = sign(ω· x) = 1, ω· x > 0 -1, otherwiseAlgorithm: Perceptron learning rule1: Let D = {(xi, ti)|i = 1, 2, ..., n} be the set of training instances.2: Initialize the weight vector with random values, ω3: repeat4: for each tra