NCA-GENM Exam Dumps | You are working with a dataset of handwritten digits and training a Variational Autoencoder (VAE) to

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Question 45/192

You are working with a dataset of handwritten digits and training a Variational Autoencoder (VAE) to generate new digits. After training, you observe that the generated digits are blurry and lack sharp details. Which of the following modifications could potentially improve the quality of the generated digits in your VAE?

A. Decreasing the dimensionality of the latent space.

B. Increasing the capacity of the encoder and decoder networks (e.g., adding more layers or neurons).

C. Reducing the weight of the KL divergence term in the VAE loss function.

D. Using a simpler decoder architecture.

E. Increasing the weight of the KL divergence term in the VAE loss function.

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