GLOSSARY TERM
What is Autoencoder?
A neural network designed to learn efficient data codings in an unsupervised manner.
An autoencoder consists of an encoder that compresses data into a lower-dimensional latent space and a decoder that reconstructs the original input. It is heavily utilized for dimensionality reduction, feature learning, and anomaly detection.
Intelligent Compression
Leverage autoencoders for advanced anomaly detection within the M1 ecosystem.