In this project, I'll define and train a DCGAN (Deep Convolutional Generative Adversarial Network) on a dataset of faces. My goal is to get a generator network to generate new images of faces that look as realistic as possible.
The project is broken down into sections, starting from loading in data to defining and training adversarial networks. At the end of the notebook, I'll visualize the results of my trained Generator to see how it performs; my generated samples should look like fairly realistic faces with small amounts of noise.
I'll be using the CelebFaces Attributes Dataset (CelebA) to train my adversarial networks.