Deep Learning with Python

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 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 an incredible ...