In this chapter, we were introduced to Age Conditional Generative Adversarial Networks (Age-cGANs). We then studied the architecture of Age-cGANs. After that, we learned how to set up our project and looked at the Keras implementation of Age-cGAN. Then we trained Age-cGAN on a wiki-cropped dataset, and went through all three stages of the Age-cGAN network. Finally, we discussed practical applications of Age-cGANs.
In the next chapter, we will be generating anime characters using another variant of GANs: DCGANs.
