论文标题
自动编码器
Autoencoders
论文作者
论文摘要
自动编码器是一种特定类型的神经网络，该类型主要是为了将输入编码为压缩且有意义的表示形式，然后将其解码后，以使重建的输入与原始一个相似。本章调查了今天主要使用的不同类型的自动编码器。它还描述了自动编码器的各种应用程序和用例。
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.
