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. 2016 Jul 21;16(Suppl 2):70. doi: 10.1186/s12911-016-0310-7

Fig. 5.

Fig. 5

The 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 features