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Hi everyone! I'm Patrick from the Assembly AI team, and today we're talking about Generative Adversarial Networks (GANs). GANs are a powerful concept in deep learning that generate realistic images, and we'll be coding one from scratch using PyTorch. GANs learn to generate data with the same statistics as the training set by having two networks play an adversarial game to create data that closely resembles the training data. This concept is simple yet powerful, making GANs one of the most fascinating ideas in recent years. Let's dive into the theory and code our own GAN!