De-Noising And Contractive Are Examples Of Which Network
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De-noising and contractive are examples of autoencoders.
A de-noising autoencoder is capable of reconstructing data from an input that consists of corrupted data. An example of corruption would be to remove some parts of the original data. The output of such an encoder is usually a refined version of the original input.
A contractive autoencoder is an unsupervised learning algorithm that is used to train deep networks.
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