Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
distribution as well. I find that you can understand all the theory but won’t really know what’s going on unless you see an application in the wild. Consider applying the Gumbel softmax trick to a variational autoencoder (VAE). Given some input image, a VAE encodes it to a latent representation z