6 Probabilistic deep learning models in the wild
This chapter covers
- Probabilistic deep learning in state-of-the-art models
- Flexible distributions in modern architectures
- Mixtures of probability distributions for flexible CPDs
- Normalizing flows to generate complex data like facial images
Many real-world data like sound samples or images come from complex and high-dimensional distributions. In this chapter, you’ll learn how to define complex probability distributions that can be used to model real-world data. In the last two chapters, you learned to set up models that work with easy-to-handle distributions. You worked with linear regression ...
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