In machine learning, there are two primary categories of models, generative models and discriminatory models. Discriminatory models strive to discriminate the given input into one or the other output classes depending on the type of input data. Whereas a generative model does not have a set of output classes that it has to categorize the data into. A generative model, as it’s name suggests, tries to generate data that fits into the distribution exhibited by the input data. Mathematically, w...
