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We want to train a perceptron network with the following training set: The initial weight matrix…

We want to train a perceptron network with the following training set: The initial weight matrix…

We want to train a perceptron network with the following training set:The initial weight matrix and bias arei. Plot the initial decision boundary, weight vector and input patterns. Which patterns are correctly classified using the initial weight and bias?ii. Train the network with the perceptron rule. Present each input vector once, in the order shown.iii. Plot the final decision boundary, and demonstrate graphically which patterns are correctly classified.iv. Will the perceptron rule (given enough iterations) always learn to correctly classify the patterns in this training set, no matter what initial weights we use? Explain.