README.md 630 B

P4: Generate Faces

A Generative Adversarial Network is trained to generate realistic human faces from celebrity images.

About

In this project, a Generative Adversarial Network is first used to generate new characters using the MNIST dataset. Then, on photographs of celebrities, a fresh network is trained to generate new faces.

Output

Files

  • face_generation.ipynb – Project notebook.

  • face_generation.html – HTML Export of the project notebook.

  • helper.py – Helper functions.

  • problem_unittests.py – Unit tests.

License

Modified MIT License © Pranav Suri