Variational Autoencoders (VAEs) are powerful tools that encode data into probabilistic latent spaces, enabling creative data generation and advanced applications like image synthesis and anomaly detection. Widely used across Australian sectors, they improve statistical modelling, satellite imagery, and health data analysis.
