Authors: Matthias Sammer, Paul Leitner
We show a theoretical summary of the principles of GANs in the jupyter notebook . To make it a little more tangible, we also created a small convenience wrapper class that shows the process in python in the python file
For the practical implementation we use tensorflow on a Keras backend, note that the training process on a CPU takes multiple hours, this could be expedited by using the GPU backend by at least an order of magnitude