Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...

40 years ago, VAE Raleigh (Visual Art Exchange) was just an idea; a small group of Raleigh artists sitting around a kitchen table brainstorming about how to give the arts a bigger stage in the city.

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...