In this project, we'll define and train a Deep Convolutional Generative Adversarial Neural Networks (DCGAN) on a dataset of faces. Our 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 notebook, we'll be able to visualize the results of our trained Generator to see how it performs; our generated samples should look like fairly realistic faces with small amounts of noise.
This project is a part of Udacity Deep Learning Nanodegree Program.