Reference A starting point

Wasserstein Distance

Earth Mover's Distance - a metric measuring the minimum cost to transform one distribution into another.

Earth Mover’s Distance - a metric measuring the minimum cost to transform one distribution into another.

This concept is essential for understanding machine learning fundamentals and forms a key part of modern AI systems.

Distance Metric
WGAN
Optimal Transport

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Foundations KL Divergence Kullback-Leibler divergence - a measure of how one probability distribution differs from another. Foundations Jensen-Shannon Divergence A symmetric measure of similarity between probability distributions, related to KL divergence. Vision & Multimodal Generative Adversarial Network A framework where two networks (generator and discriminator) compete, with the generator learning to create realistic data. Neural Networks Spectral Normalization Constraining the spectral norm of weight matrices to stabilize GAN training.