In this chapter, we studied super-resolution images and how we can apply them using a SRGAN. We also studied other types of GANs and how GANs work in general. Then, we discussed how to create a Flutter application that can be integrated with an API hosted on a DigitalOcean Droplet so that we can perform image super-resolution when an image has been picked from the gallery. Next, we covered how to use DigitalOcean Droplets and how it is a good choice for hosting the backends of applications due to its low cost and easy-to-use interface.
In the next chapter, we will discuss some popular applications that have seen great improvements by integrating deep learning into their functionality. We will also explore some hot research areas in deep learning for mobile phones, and briefly discuss the latest work that has been done on them.
