Law of Large Numbers

Latent space is a simplified, compressed representation of data learned by models like autoencoders and generative adversarial networks. It encodes essential features, enabling similar data points to cluster together, which facilitates data manipulation, generation, and understanding. This space allows AI systems to interpolate, alter, or generate new data by navigating within this condensed, meaningful feature representation.