Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
and decodes it to a reconstructed image. Typically the latent variable is represented by a real-valued vector. Suppose we want the latent variable z of the VAE to be a 1-hot discrete vectors instead. This makes the model interpretable as each dimension of z could represent a particular class of