Probability Basics, Discriminative vs Generative Models, and Autoencoders (including Variational Autoencoders)
This article introduces fundamental probability notation, explains the difference between discriminative and generative models, and provides a comprehensive overview of autoencoders and variational autoencoders, covering their architectures, loss functions, latent spaces, and practical applications in image manipulation.