Did you know.

Did you know?👀 Generative Adversarial Networks (GANs) have two neural networks (Generator & Discriminator) competing with each other by using deep learning methods to become more accurate in their predictions. The generator tries to generate data starting with random noise, while the discriminator tries to distinguish between real data and fake data produced by the Generator. GANs are used to transfer styles and generate images, art, music, etc.🦾