GAN Principles & Architecture: Inside the Generator and Discriminator

In 2014, Ian Goodfellow introduced the Generative Adversarial Network (GAN), fundamentally shifting how AI generates data.

Instead of trying to calculate complex probability distributions directly, GANs use a brilliant architecture consisting of two distinct neural networks that compete against each other in a zero-sum game.

Let's look at the exact architecture and mathematical principles that make this possible.