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Contractive Autoencoder (CAE) The theory driving a contractive autoencoder, proposed by Rifai et al. [ninety], is to make the autoencoders robust of modest variations while in the education dataset. In its goal perform, a CAE includes an specific regularizer that forces the model to learn an encoding that is powerful to compact adjustments in enter