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DLND-Face-Generation

Project 4 for Udacity's Deep Learning Nanodegree. In this project, I used generative adversarial networks to generate new images of faces.

I used two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and I am doing GANs in a project for the first time, Udacity recommended I test the neural network on MNIST before CelebA. Running the GANs on MNIST allowed me to see how well my model trains sooner.