Variational Autoencoder Model ELBO loss function and maths explained easily

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A complete explanation of the Variational Autoencoder, a key component in Stable Diffusion models. I will show why we need it, the idea behind the ELBO, the problems in maximizing the ELBO, the loss function and explain the math derivations step by step. • Link to the slides: https://github.com/hkproj/vae-from-sc... • Chapters • 00:00 - Introduction • 00:41 - Autoencoder • 02:35 - Variational Autoencoder • 04:20 - Latent Space • 06:06 - Math introduction • 08:45 - Model definition • 12:00 - ELBO • 16:05 - Maximizing the ELBO • 19:49 - Reparameterization Trick • 22:41 - Example network • 23:55 - Loss function

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