Autoencoder
An unsupervised neural network designed to compress inputs into low-dimensional latent spaces and reconstruct them.
Autoencoders consist of an encoder that compresses input text/images into a bottleneck representation and a decoder that reconstructs the original input, useful for dimensionality reduction and feature learning.
Historical figures and technical concepts for informational purposes only. Not technical, professional, legal, or financial advice. Sources: Official Documentation.