February 2026 Course - Lesson 1: Autoencoders and Latent Space

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898 documents. No vids.

Core papers:

  1. Reducing the Dimensionality of Data with Neural Networks
    Geoffrey Hinton, Ruslan Salakhutdinov, 2006

  2. Auto-Encoding Variational Bayes
    Diederik Kingma, Max Welling, 2013 / 2014

Topics:

  • Encoder / decoder

  • Latent representations

  • Variational inference

  • Why latent space matters for image and video generation

Key concept:

image → encoder → latent → decoder → image

Engineering connection:

  • Stable Diffusion VAE

  • Video latent space

  • Why image editing is often done in latent space rather than pixel space