How to abstractly build a Probabilistic Generative Model (Variational Autoencoder)

Generative models are the hot topic in AI, conjuring realistic images, composing symphonies, and weaving tales with unprecedented creativity. But before you open that VS Code window and start copy-pasting, understanding their inner workings is more way important in the long run. For this tutorial we’ll be exploring Variational Autoencoders, as they provide a great balance of being simple enough to understand for beginners, but also complex enough to showcase fundamental probabilistic principals. Note: This article aims at explaining the process behind how probabilistic generative models are created, its meant for getting an intuition behind these models rather than an actual tutorial to code one. <a href="https://medium.com/@touami_mohammed/how-to-abstractly-build-a-probabilistic-generative-model-variational-autoencoder-290563a7b431">Click Here</a>