Add description for vae topic

Author: Tariolle

topics/vae/index.md

@@ -0,0 +1,8 @@
+---
+aliases: variational-autoencoder
+display_name: VAE
+short_description: A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data.
+topic: vae
+wikipedia_url: https://en.wikipedia.org/wiki/Variational_autoencoder
+---
+A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. VAEs are widely used for image generation, anomaly detection, and data augmentation.