Variational Autoencoder based Anomaly Detection using ...

2.2 Autoencoder and anomaly detection An autoencoder is a neural network that is trained by unsupervised learning, which is trained to learn reconstructions that are close to its original input. An autoencoder is composed of two parts, an encoder and a decoder. A neural network with a single hidden layer has an encoder

Autoencoder