Summary

In this chapter, we discussed some advanced computer vision tasks. We started with TL, a technique that makes it possible to bootstrap our experiments with the help of pre-trained models. We also introduced object detection and semantic segmentation models, which benefit from TL. Finally, we focused on generative models and DDPM in particular.

In the next chapter, we’ll introduce language modeling and recurrent networks.