Building blocks of deep generative models In this article, we will learn about some important concepts that are important to learn if we want to thoroughly understand how a deep generative learning model works. We will learn about some probabilistic concepts that help the generative learning frameworks in learning data distributions. These concepts are basic building blocks of… Read More »
Generative Learning refers to a special class of statistical models that are capable ofgenerating content that is very hard to distinguish from the reality (or fake content thatlooks real). The generated content could be poems, images, music, songs, videos, 3Dobjects or content from some other domain we could imagine. A domain is nothing but a fancy word for… Read More »
Generative Learning and its Differences from the Discriminative Learning Generative Learning refers to a special class of statistical models that are capable ofgenerating content that is very hard to distinguish from the reality (or fake content thatlooks real). The generated content could be poems, images, music, songs, videos, 3Dobjects or content from some other domain we could imagine.… Read More »