Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
then the encoder would output mean and variance vectors instead. For discrete z, the encoder outputs the probabilities of each latent dimension being on. Using the Gumbel softmax trick, the loss is converted to the following equation: We have replaced the real-valued latent vector with a soft