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

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With the help of python code can you show in the code how to prevent mode collapse during training of GANs?
Nov 7 in Generative AI by Ashutosh
• 5,810 points

edited Nov 8 by Ashutosh 79 views

1 answer to this question.

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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.

answered Nov 8 by viksha mehera

edited Nov 8 by Ashutosh

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