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Denoising Autoencoder

Denoising autoencoders are an extension of the basic autoencoder, and represent a stochastic version of it. Denoising autoencoders attempt to address identity-function risk by randomly corrupting input (i.e. introducing noise) that the autoencoder must then reconstruct, or denoise.

Autoencoders

Types of Autoencoders > Function

Denoising Autoencoder