Problem
1. Suppose we use support vector machines to find a perfect separating line between a given set of n red and blue points. Now suppose we delete all the points which are not support vectors, and use SVM to find the best separator of what remains. Might this separating line be different than the one before?
2. Specify the network structure and node activation functions to enable a neural network model to implement linear regression.