How Latent Vector Fields Reveal the Inner Workings of Neural Autoencoders

Autoencoders and the Latent Space

Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder…