Train a Perceptron Perceptron is a fundamental building block for neural networks. Let us try to train a single perceptron. Consider the data given in the following table. As one can see, it has two attributes x1,x2 and a class label (either 0 or 1). 1. Implement the perceptron training rule and get the appropriate parameters for a single perceptron. 2. Plot the data points and the obtained decision boundary. 3. Also draw the schematic diagram of the trained perceptron with learned weights. You can draw this on paper and attach a photo.

x1	x2	class
2	3	0
4	5	0
11	11	1
4	11	1
12	5	0
5	2	0
6	1	0