Variational Autoencoders (VAEs) — Roadmap Step & Resources
Learning a probabilistic latent space that supports sampling new data
- Level: advanced
- Estimated time: 2 days
- Roadmap: Deep Learning & Neural Networks
Before this step
Interview questions
- What does a VAE add on top of a plain autoencoder that makes it generative?
Study resources
- Variational Autoencoders (Video) — A clear explanation of VAEs and the reparameterization trick.
- Auto-Encoding Variational Bayes (Article) — The original VAE paper introducing variational autoencoders.
Part of
- Generative Models — section
- Deep Learning & Neural Networks roadmap — the full learning path