In this project, you'll define and train a DCGAN on a dataset of faces.
The goal is to get a generator network to generate new images of faces that look as realistic as possible!
The project will be broken down into a series of tasks from loading in data to defining and training adversarial networks. At the end of the model, we'll be able to visualize the results of the trained Generator to see how it performs; the generated samples should look like fairly realistic faces with small amounts of noise.
The dataset is called CelebFaces Attributes Dataset (CelebA) which we'll use it to train our GANs.