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How do generative models relate to deep learning?
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Answer / Abhinav Kiran
Generative models are a subset of deep learning that learn the probability distribution of data samples, enabling them to generate new data similar to the training dataset. Deep generative models, such as Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN), use neural networks to model complex distributions and generate realistic-looking images, text, and other data types.
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