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What is Generative Adversarial Networks (GANs)?

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Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used to generate synthetic data that resembles real data by learning from training examples. They find applications in image generation, video synthesis, and data augmentation.

Other Definitions

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Modular Neural Networks

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Bayesian Networks

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