+**Gan** (Generative Adversarial Network) is a powerful framework in [AI](/wiki/AI) that learns to generate new data with characteristics similar to training data. It involves two competing [Neural Networks](/wiki/Neural_Networks): a generator that creates new examples, and a discriminator that tries to distinguish real data from generated data. This adversarial process drives both networks to improve, producing increasingly realistic outputs.
+## See also
+- [Machine Learning](/wiki/Machine_Learning)
+- [Deep Learning](/wiki/Deep_Learning)
+- [Generative Models](/wiki/Generative_Models)
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