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Deep Learning with R by François Chollet with J. J. Allaire

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Chapter 8. Generative deep learning

This chapter covers

  • Text generation with LSTM
  • Implementing DeepDream
  • Performing neural style transfer
  • Variational autoencoders
  • Understanding generative adversarial networks

The potential of artificial intelligence to emulate human thought processes goes beyond passive tasks such as object recognition and mostly reactive tasks such as driving a car. It extends well into creative activities. When I (François) first made the claim that in a not-so-distant future, most of the cultural content that we consume will be created with substantial help from AIs, I was met with utter disbelief, even from long-time machine-learning practitioners. That was in 2014. Fast-forward three years, and the disbelief has receded—at ...

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