Simple Implementation of implementations of Generative Adversarial Networks (GANs) using Tensorflow. In the notebook file the GAN are designed to generate similar images according to the training inputs.
The reason I include this notebook is because the tutorial/code I found accessible on the internet is usually full of bugs or outdated. Thus I think it is extremely important to have a bug-free can ready-to-run version of it, to kick start further exploration on GANs.
The performance of GANs varies depending on the setting of Dsicriminator & Generator (the network structure inside of it). I will try to improve the repository as I learn about ways of improving its performance.