An autoencoder is a specific type of a neural network, which is mainly designed to encode the input into a compressed and meaningful representation, and then decode it back such that the reconstructed input is similar as possible to the original one. This chapter surveys the different types of autoencoders that are mainly used today. It also describes various applications and use-cases of autoencoders.

翻译：自动编码器是神经网络的一种特定类型,主要设计用于将输入编码成压缩和有意义的表示法,然后将其解码后,使重新编码的输入尽可能与原始输入相似。本章调查了今天主要使用的不同类型的自动编码器,还描述了自动编码器的各种应用和使用情况。