|
|
7 years ago | |
|---|---|---|
| .. | ||
| README.md | 7 years ago | |
| face_generation.html | 7 years ago | |
| face_generation.ipynb | 7 years ago | |
| helper.py | 7 years ago | |
| output.png | 7 years ago | |
| problem_unittests.py | 7 years ago | |
A Generative Adversarial Network is trained to generate realistic human faces from celebrity images.
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.
face_generation.ipynb – Project notebook.
face_generation.html – HTML Export of the project notebook.
helper.py – Helper functions.
problem_unittests.py – Unit tests.