Definition
A type of neural network designed to learn efficient, compressed representations (encodings) of input data by training the network to reconstruct the original input from the encoding.
In short: A type of neural network designed to learn efficient, compressed representations (encodings) of input data by training the network to reconstruct the original input from the encoding.