Generative AI

Generative Adversarial Networks (GANs) are a deep learning framework comprising two neural networks: a generator and a discriminator. The generator creates synthetic data aiming to mimic real data, while the discriminator evaluates the authenticity of the data. Through this adversarial process, both networks improve iteratively, enabling GANs to generate highly realistic images, videos, and other complex data types.