seniorAutoencoders
What is KL divergence in VAEs?
Updated May 5, 2026
Short answer
KL divergence measures difference between learned latent distribution and normal distribution.
Deep explanation
It regularizes latent space to follow a standard normal distribution N(0,1). This ensures smooth interpolation and meaningful sampling in generative models.
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