7.4 Summary
In this chapter, we’ve taken a look at a number of practical considerations of using Bayesian deep learning: exploring trade-offs in model performance and learning how we can use Bayesian neural network methods to better understand the effects of different uncertainty sources on our data.
In the next chapter, we’ll dig further into applying BDL through a variety of case studies, demonstrating the benefits of these methods in a range of practical settings.