In what follows, we introduce the VAE models and their unique differences. Briefly the RNN, RNN-Attention and Trans-VAE models all employ the typical VAE bottleneck with mean (µ) and log of the variance (σ ) network layers while the AAE and WAE employ unique loss functions which regularize the latent space to match a set distribution.