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1: The autoencoder is also called Diabolo network due to its structure's look. [1] (Rumelhart et al., 1986a; Bourlard & Kamp, 1988; Hinton & Zemel, 1994; Schwenk & Milgram, 1995; Japkowicz, Hanson, & Gluck, 2000, Yoshua Bengio 2009)

1: The autoencoder is also called Diabolo network due to its structure's look. [1] (Rumelhart et al., 1986a; Bourlard & Kamp, 1988; Hinton & Zemel, 1994; Schwenk & Milgram, 1995; Japkowicz, Hanson, & Gluck, 2000, Yoshua Bengio 2009)

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A variational autoencoder is a method that can produce artificial data which will resemble a given dataset of real data. For instance, if we want to produce new artificial images of cats, we can use a variational autoencoder algorithm to do so, after training on a large dataset of images of cats. The input dataset is unlabeled on the grounds that w...

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