Contractive Autoencoder (CAE) The thought behind a contractive autoencoder, proposed by Rifai et al. [ninety], is to create the autoencoders sturdy of compact alterations during the instruction dataset. In its goal functionality, a CAE consists of an express regularizer that forces the model to find out an encoding that is strong to little improvem… Read More