output_anime | ||
output_faces | ||
.gitattributes | ||
.gitignore | ||
GAN.py | ||
GAN.pyproj | ||
GAN.sln | ||
README.md |
Generative Adverserial Network for generating images similar to an image dataset
The code here is a slightly altered version of the code that has been generously made publicly available at https://github.com/gsurma/image_generator
As an introduction to the world of GANs, I decided to try the above model on some different datasets. You can see the results of two example trainings in the respective output folders.