auto-encoder
时间: 2023-10-23 12:10:10 浏览: 36
An autoencoder is an artificial neural network architecture that is used for unsupervised learning of efficient data codings. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction or feature extraction. It consists of two parts: an encoder that compresses the data into a lower-dimensional representation, and a decoder that reconstructs the original data from the compressed representation. The encoder and decoder are typically symmetric and the objective is to minimize the difference between the original data and the reconstructed data. Autoencoders have been used in a wide range of applications such as image, audio, and text data processing, and anomaly detection.