Building a deep neural network to improve network accuracy

Until now, we have looked at model architectures where the neural network has only one hidden layer between the input and the output layers. In this section, we will look at the neural network where there are multiple hidden layers (and hence a deep neural network), while reusing the same MNIST training and test dataset that were scaled.