Generative Adversarial Networks (GANs) Generative Adversarial Networks (GANs) consist of two neural networks: a generator and a discriminator. The generator creates simulated data (e.g., images, videos, etc.), while the discriminator tries to determine if the generated data is real or fake. These two networks "compete" with each other, improving the realism of the generated data over... https://austratech.com.au/services.html