From Deep Generative Models by Prakash Pandey

…bution of the training data so that it could easily sample new data from that learned distribution. The idea is to learn a low-dimensional latent representation of the training data called latent variables (variables which are not directly observed but are rather inferred through a mathematical model) which we assume to have generated our actual training data. These latent variables can store useful information about the type of output the model needs to gen…