In this part of Homework 3, your will implement several a GAN, and run experiments using the MNIST and CIFAR-10 datasets.
You can download the datasets here (extract them to the data/ directory in the root of this repository). I've provided code for loading and processing this data into minibatches in mnist.py and cifar10.py.
Scaffolding for your GAN models is provided in models.py and utils.py.
Framework code for training your models is found in mnist.ipynb (Problem 5) and cifar10.ipynb (Problem 6). I recommend using Google Colab to execute these notebooks (with a GPU accelerator attached).