Introduction to Conditional GANs
Learn about a conditional GAN: what it is, why we need it, and how we define the architecture.
We'll cover the following...
The MNIST GANs we developed earlier generated a wide variety of output images. This was good because a constant challenge for designing GANs is avoiding low diversity and mode collapse.
Why conditional GAN?
It would be useful if we could somehow encourage our GAN to produce images that were diverse, but also ...