Variational_Auto_Encoder

Variational Autoencoders (VAEs) are powerful generative models. When using generative models, you could simply want to generate a random, new output, that looks similar to the training data, and you can certainly do that too with VAEs. But more often, you’d like to alter, or explore variations on data you already have, and not just in a random way either, but in a desired, specific direction