Consider the Dataset for the classification problem defined below: X_train = [ -1 0 -1 0 y_train = [0 0 1 1] 0 a. Design a single-neuron perceptron to solve this problem. Design the network graphically, by choosing weight vectors (W) and biases
(b) that are orthogonal to the decision boundaries (meaning that you have to find the values of the parameters by trial and error of by mathematical formula). b. Test your solution with all four input/training vectors. c. Classify the following input/test vectors with your solution. X_test= [1 0 -2 1 1 1] co y_test = [?? ? ?] d. Which of the vectors in part
(C) will always be classified the same way, regardless of the solution values for Wand b? Which may vary depending on the solution? Why?

Write a grading program for a class with the following grading policies: a. there are two quizzes, each graded on the basis of 10 points. b. there is one midterm exam and one final exam, each graded on the basis of 100 points. c. the final exam counts for 50% of the grade, the midterm counts for 25%, and the two quizzes together count for a total of 25%. (do not forget to normalize the quiz scores. they should be converted to a percentage before they are averaged in.) any grade of 90 or more is an a, any grade of 80 or more (but less than 90) is a b, any grade of 70 or more (but less than 80) is a c, any grade of 60 or more (but less than 70) is a d, and any grade below 60 is an f. the program will read in the student’s scores and output the student’s record, which consists of two quiz and two exam scores as well as the student’s average numeric score for the entire course and final letter grade. define and use a structure for the student reco