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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