A simple Generative Adversarial Network example written using Keras library in Python (backed by TensorFlow).
The objective of this small program is to generate new hand-drawn circles based on the small input dataset.
Key notes:
- The GAN is based on the CNN network from the previous article and enhanced with a generator network
- Binary cross-entropy is used as the loss function for both the discriminator and the generator network
- Adam algorithm is used as the optimizer
- The training dataset is very small. It contains only hand-drawn circles. However, the network is able to create new images similar to the ones found in the input dataset.
The code for this project can be found on GitHub.