GANs AI Courses

The creation of generative adversarial networks, or GANs, has been one of the most fascinating advances in artificial intelligence and machine learning in recent years.

The two main components of a neural network architecture known as a generative adversarial network are a generator and a discriminator. The discriminator compares the artificial data such as text or images with the real data and attempts to discern differences between the two. The generator's objective is to produce data that is so realistic that the discriminator is unable to distinguish it from genuine data, producing outputs that are incredibly lifelike.