Why does my GAN model fail to converge after 100 epochs

Question

With the help of proper code explanation can you tell me Why does my GAN model fail to converge after 100 epochs?

Answer 1

A GAN model may fail to converge after 100 epochs due to issues like mode collapse, improper balance between the generator and discriminator, or learning rate mismatches. Here is the solution you can take:

• Balance Generator and Discriminator: Ensure the discriminator isn't too powerful compared to the generator.
• Use Proper Learning Rates: Set different learning rates for the generator and discriminator.
• Use Advanced Techniques: Try techniques like feature matching, label smoothing, or Wasserstein loss.

Here is the code snippet you can refer to:

In the above code, we are using the following:

• Balance the models: Ensure the generator and discriminator are balanced in their training.
• Use appropriate learning rates: Use separate learning rates for both models.
• Advanced techniques: Implement methods like Wasserstein loss or label smoothing if convergence issues persist.