Model Architectures · Go deeper
VAEs (Variational Autoencoders)
Compress data into a smooth 'concept space' you can sample and interpolate — the quiet engine inside Stable Diffusion.
- 40 min lesson
- advanced level
- Narrated presentation
What you’ll learn
- Encoder-decoder bottleneck
- Latent space
- Probabilistic encoding (mean + variance)
- KL regularization
- Interpolation and sampling
- Role in latent diffusion
Inside this lesson
A narrated, slide-by-slide presentation with 1 prediction exercise, 1 knowledge check, 2 videos. You answer as you go, and the platform checks your work.