What happens if the Generator in a GAN model is performing poorly during the training process?
A. The Generator can easily fool the Discriminator with the generated fake samples.
B. The Discriminator Network will perform poorly with lower confidence levels.
C. The Discriminator can easily identify between fake and real samples with higher confidence levels.
D. The Discriminator cannot easily identify between fake and real samples with higher confidence levels.
