Autoencoder Text Generator

Autoencoders are neural networks that learn to compress and reconstruct data. In text generation, they encode input text into a latent space representation and then decode it to generate new text.

This simulation demonstrates how an autoencoder might expand a short sentence into a longer passage while maintaining the original meaning and style.