Generative AI: Introduction to Latent Variable Models

Introducing the Latent Variable Models with our concise yet comprehensive lecture, designed for professionals in machine learning. We start with the basics, introducing you to the concepts of Latent Variable Models and Autoencoders, and explain the difference between Observed vs. Latent and Deterministic vs. Random variables. Progress through the intricacies of applying these models in deep learning, understand the training processes, and grasp essential theories like the variational approximation, Entropy, and KL-Divergence.

[@peri.platypus]

new subscriber here playing through to this playlist to learn computer vision :)

[@muhammadzulqarnain3374]

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[@hakanovali9276]

good example both theorical and apply sides.