GLOSSARY TERM
What is KL Divergence?
A statistical measure of how one probability distribution differs from a reference distribution.
Kullback-Leibler divergence quantifies the information lost when approximating a true distribution with an assumed one. It is a fundamental component in loss functions for generative architectures like Variational Autoencoders.
Statistical Optimization
Monitor divergence metrics deeply integrated into your training workflows.