It is also used for pretraining other deep neural networks (Erhan et al., 2010).
when combined with other models, the learning of autoencoders, or more generally sparse codings (Rubinstein et al., 2010), is usually conveyed in an alternating manner, fixing one part of the model while optimizing the other, such as in Xie et al.