Glossary · Data & representations
Latent Space
A learned representation space whose coordinates encode factors useful to a model. It may be lower-dimensional than the input, but compression is not required for every latent representation.
Common confusion
Nearby points are only meaningfully similar according to what the model and training objective learned.
Related terms
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