How do I fix discriminator overfitting in FastAI s GAN training

Question

With the help of code examples, can you tell me How do I fix discriminator overfitting in FastAI’s GAN training?

Answer 1

To fix discriminator overfitting in FastAI's GAN training, use techniques like label smoothing, dropout, data augmentation, and training the generator more frequently than the discriminator.

Here is the code snippet you can refer to:

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

• Label Smoothing: Softens real labels to mitigate overconfidence in the discriminator.
• Data Augmentation: Adds variability to training data to prevent overfitting.
• Dropout: Introduces randomness in the discriminator to reduce dependency on specific patterns.

Hence, by referring to the above, you can fix discriminator overfitting in FastAI's GAN training.