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Contractive Autoencoder (CAE) The concept guiding a contractive autoencoder, proposed by Rifai et al. [ninety], is to generate the autoencoders strong of little variations inside the education dataset. In its objective purpose, a CAE features an express regularizer that forces the model to understand an encoding that is powerful to small improvemen