Consider the following training data for a perceptron: X. Y…
Consider the following training data for a perceptron: X. Y. Z. Class 0. 3. 5. 1 1. 4. 8. 0 7. 1. 2. 1 -1. 5. 5. 0 2. 6. 7. 0 Use (2 3 1 4) as the initial weight vector. Execute the perceptron training algorithm as discussed in class and report the following: 1. (4) The updated weight vector after the second data point, (1,4,8), is processed. 2. (4) The updated weight vector after the third data point, (7, 1, 2), is processed. 3. (6) The updated weight vector after the fifth data point, (2, 6, 7), is processed.