Fig. 5From: Detecting epileptic seizures with electroencephalogram via a context-learning modelThe structure of an autoencoder. x is the input data, h is the hidden unit and +1 term is adopted to integrate the bias. It is composed of two parts, an encoder and a decoder. The output of the encoder is the extracted features for the input data and the decoder is tuned to reconstruct the input data based on the extracted featuresBack to article page