神经网络练习,使用DELTA LEARNING RULE对二维的1000个点进行分类,并且计算其准确度-There are four class centered at (3, 3), (3, − 3), (− 3, − 3), (− 3, 3). The data points are 2-dimensional independent Gaussian with the variance of 1.5. Simulate 250 points for each class. 10 points from each class are used as training samples.