Generative Adversarial Networks | PythonGUI
Generative Adversarial Networks (GANs) are a class of machine learning frameworks designed to generate new data samples by pitting two neural networks against each other. One network, the generator, creates data, while the other, the discriminator, evaluates it. This adversarial process improves data quality, making GANs powerful tools for generating realistic images, audio, and more. For more information about Generative Adversarial Networks (GANs), visit the PythonGUI Blog.
