Generative Adversarial Networks (GANs): An Overview | Python GUI
Generative Adversarial Networks (GANs) are deep learning models consisting of a generator and a discriminator. The generator creates synthetic data, while the discriminator evaluates its authenticity. GANs train in an adversarial process, aiming to produce realistic outputs while improving its ability to detect fakes.
They are widely used in image generation, video synthesis, and data augmentation, and their high-quality, realistic data has made them crucial in AI art and simulation. For more information, read the Python GUI blog.
