Generative Adversarial Networks Projects

Summary

In this chapter, we have introduced deep convolutional generative adversarial networks. We started with a basic introduction to DCGANs and then explored the architecture of the DCGAN network in depth. After that, we set up the project and installed the necessary dependencies. Then, we looked at the different steps required to download and prepare the dataset. We then prepared a Keras implementation of the network and trained it on our dataset. Once it was trained, we used it to generate new anime characters. We also explored different applications of DCGAN for real-world use cases.

In the next chapter, we will work on SRGANs for high-resolution image generation.