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Machine Learning Variational Autoencoders
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What is the primary goal of a Variational Autoencoder (VAE)?
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A
To generate new data from a learned distribution
💡 Explanation:
VAEs are generative models that aim to learn the underlying distribution of data and generate new samples from that distribution.