What can you do to fix imbalanced training losses between generator and discriminator in GANs

Question

Can you tell me What I can do to fix imbalanced training losses between the generator and discriminator in GANs?

Answer 1

To address imbalanced losses between the generator and discriminator, adjust learning rates, use gradient clipping, or apply label smoothing. You can refer to the code steps:

In the above code, we are using the following points:

Learning Rate Adjustment: Use lower learning rates for the discriminator to balance training dynamics.

Gradient Clipping: Prevents exploding gradients, ensuring stable updates.

Label Smoothing: Stabilizes discriminator training by reducing overconfidence in real/fake classification.

Hence, by referring to above,  you can fix imbalanced training losses between generator and discriminator in GANs.