sunsern / Jupyter-GAN

Building different Generative Adversarial Networks (GANs) for different tasks using Keras and Jupyter Notebook

Building different GANs in Jupyter Notebook

This repository contains different kind of Generative Adversarial Networks (GANs) implementations using Keras in Jupyter Notebook

Regular GAN

Just the regular GAN as introduced by Goodfellow at. al..

GAN with label information

An extension in which class label information is taken into account. In contrast to the conventional GAN, this allows to decide which class to generated. These GANs were introduce by Salimans et al..

MNIST training evolution (ones)

CIFAR-10 training evolution (automobile)