What do you know about Autoencoders?

An autoencoder is a type of artificial neural network used to learn data encodings in an unsupervised manner.

 

The aim of an autoencoder is to learn a lower-dimensional representation (encoding) for a higher-dimensional data, typically for dimensionality reduction, by training the network to capture the most important parts of the input image.