1 Matching Annotations
- Oct 2019
the generator and discriminator losses derive from a single measure of distance between probability distributions. In both of these schemes, however, the generator can only affect one term in the distance measure: the term that reflects the distribution of the fake data. So during generator training we drop the other term, which reflects the distribution of the real data.
Loss of GAN- How the two loss function are working on GAN training