This post introduce Mixture Density Network and show how it can be used for regression problem using pytorch framework.
The post introduce the principle of probabilistic modelling with focus on how to learn parameters of probabilistic model using maximum likehood, bayesian estimation and the maximum aposterior approximation.
The post introduce the basics principle of probability and information theory and their application to machine learning.