Suppose you are training a Deep Neural Network (DNN) model on MNIST dataset using SGD optimizer, and you want to classify different hand-written digits using this model. After training the model, when you plot the loss graph, you observe that the test loss is 50% higher than the training loss. What is likely going on and how can you fix this? (Answer in 2-3 lines)