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Machine Learning Variational Autoencoders

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Multiple Choice

What is the primary goal of a Variational Autoencoder (VAE)?

  1. To generate new data from a learned distribution
  2. To reduce the dimensionality of data
  3. To classify data into different categories
  4. To detect anomalies in data
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