How do you mitigate the generation of low-quality samples in GANs during the early training stages

Question

With the help of code in python can you show how to mitigate the generation of low-quality samples in GANs

Answer 1

You can mitigate the generation of low-quality samples in GANs by referring to the following:

This code reference shows that whenever discriminator finds samples as low quality then it penalizes the generator ,hence helps in improving the output.