In this problem, similar to Problem 2, we utilize Tensorflow and keras to train a 1-

hidden layer classification NN using the MNIST digits (M = 10) dataset 2. In this dataset, we have

N = 60000 training data points and 10000 examples for testing where each one consists of a gray

scale image with F= 28 * 28 = 784 features (or pixels).