# Vector-Quantized Autoencoder

> Source: https://sukruyusufkaya.com/en/glossary/vector-quantized-autoencoder
> Updated: 2026-05-13T19:58:57.360Z
> Type: glossary
> Category: derin-ogrenme
**TLDR:** A generative autoencoder architecture that uses a discrete codebook instead of a continuous latent space.

<p>A Vector-Quantized Autoencoder learns latent representations through discrete code vectors rather than a continuous latent space. This provides a powerful way to represent visual or audio data with language-like discrete structure. VQ-based architectures have been especially effective in generative modeling and high-quality synthesis systems. The discrete latent space offers a different structural interpretation of representation learning.</p>