Summary
In this chapter, we have discussed what GANs are, their architecture, and the training process. At the same time, we explored how GANs were utilized for various applications such as image-to-image translation. Additionally, we covered a coding example demonstrating how to use GANs to generate photorealistic images. In this chapter, we also learned about the main variations of GANs. In the next chapter, we will continue our learning journey by exploring another exciting approach for generating synthetic data by utilizing video games.
