The classic VAE tutorial that bridges deep learning and probabilistic modeling
goyal__pramod · x · 2026-10-12
Pramod Goyal recommends Jaan Altosaar's VAE tutorial (first published 2016, updated 2026) as one of the best explanations of variational autoencoders.
- Explains VAEs from two perspectives: neural networks (encoder, decoder, loss) and probabilistic graphical models
- Covers the reparameterization trick, mean-field vs amortized inference
- Includes glossary and PyTorch/TensorFlow implementations on GitHub
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