Which type of autoencoder is designed specifically for generating data that is similar but not identical to the training data?

  • Variational Autoencoder
  • Denoising Autoencoder
  • Contractive Autoencoder
  • Sparse Autoencoder
Variational Autoencoders (VAEs) are designed for generating data that is similar but not identical to the training data. They generate data from a learned distribution, enabling the generation of new and similar data points by sampling from this distribution.
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