Implementation of a DCGAN (Deep Convolutional Generative Adversarial Network) for image generation based on this article.
A set of pictures of flowers are used as a sample dataset. The original dataset can be found here. Run the code with python main_gan_flower.py.
Sample of true pictures of flowers used for training (left) and random generated images after 15000 steps (right).