Author: Alejandro Pozas Kerstjens
Implementation of a simple conditional Generative Adversarial Network. The condition allows to specify properties of the desired output during the generation of new instances. An example is provided with the MNIST dataset.
Libraries required:
- keras as DL framework (needs either tensorflow or theano installed)
- numpy for math operations
- matplotlib for image visualization
- tqdm for progress bar
