In the project in this chapter, we successfully built a MultiLayer Perceptron to produce a regression classification prediction based on handwritten digits. We gained experience with the MNIST dataset and a deep neural network model architecture that gave us the added opportunity to define some key hyperparameters. Finally, we looked at the model performance in testing and determined whether we succeeded in achieving our goals.