NCA-GENM Exam Dumps | You're training a Generative Adversarial Network (GAN) to generate images from text descriptions. After

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Question 190/192

You're training a Generative Adversarial Network (GAN) to generate images from text descriptions. After a few epochs, you notice the generator is producing nearly identical images regardless of the text input (mode collapse). Which of the following strategies could help mitigate this issue?

A. Decrease the learning rate of the discriminator.

B. Increase the capacity (number of layers/neurons) of the discriminator.

C. Use a larger batch size for the generator.

D. Implement mini-batch discrimination in the discriminator.

E. Apply weight decay regularization to the generator

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Question 190/192

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