What condition is essential for stable training in Generative Adversarial Networks (GANs)?
Answer options
A
Generator loss must always be zero
B
Discriminator must outperform the generator
C
Both networks reaching a balanced learning state
D
Running only the generator
Correct answer: Both networks reaching a balanced learning state
Explanation
GAN training is stable when the generator and discriminator learn in balance. If one dominates the other, training can collapse or fail.