How do you prevent mode collapse during the training of GANs especially with imbalanced datasets

Question

With the help of python code can you show in the code how to prevent mode collapse during training of GANs?

Answer 1

You can prevent mode collapse by the most commonly used technique that is to add a item to the loss function or employ Minibatch Discriminator. Here is the optimized reference below on the usage of Minibatch Discriminator:

In the code above Mini_Batch_Discriminator adds a layer to the discriminator helps in distinguishing between samples with each batch. In this way discriminator learns to detect lack of diversity, reducing model collapse in generator.

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