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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.

3 votes

What is an autoencoder?

One approach that I've found helpful when considering autoencoders is the following result: whereas methods such as PCA identify axes of maximal variation in the input space, the introduction of non-l …
Josh Purtell's user avatar