+Generative Adversarial Networks (GANs) are a powerful class of [Machine Learning](/wiki/machine_learning) frameworks. They involve two competing [Neural Networks](/wiki/neural_networks)—a generator and a discriminator—learning simultaneously through an adversarial process. This dynamic allows GANs to generate new, realistic data, from images to text, often indistinguishable from actual samples.
+## See also
+- [Deep Learning](/wiki/deep_learning)
+- [Generative Models](/wiki/generative_models)
+- [Image Synthesis](/wiki/image_synthesis)
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