
Fréchet Inception Distance (FID) is a metric that quantifies the quality and diversity of images generated by GANs by comparing feature representations.
Fréchet Inception Distance (FID) is a metric that quantifies the quality and diversity of images generated by GANs by comparing feature representations.
Hellinger Distance is a statistical measure that quantifies the similarity between two probability distributions, useful in data analysis and machine learning applications.
Covers how to choose the similarity measure when item embeddings are available