2. Problem 2: In this problem, we utilize Tensorflow and keras to train a 2-hidden layers regression

(M = 1) NN using the Boston Housing price regression dataset ¹. In this dataset, we have N = 404

data points where each one consists of F = 13 features. The output of the network (scalar) is