Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
be a parametric family of probability distributions over the same space indexed by θ. In other words, Pmodel(x; θ) maps any configuration xto a real number estimating the true probability Pdata(x). The maximum likelihood estimator for θis then defined as: Since we assumed the examples to be i.i.d,