This is the exercise set for the Chapter:

1. Expand the generator to allow for the use of the model's flexibility. Experiment with different parameters for those two variables in the model definition. Describe the effects.
2. Expand the training class capability to be able to take in different datasets other than MNIST. Do you need to change anything else, but allow for the training data to be an argument? What else needs to be changed?
3. Create a graphical way to visualize the Discriminator and Generator losses with loss as your y value and epochs as your x value.