no code implementations • 21 Oct 2021 • Harald Steck, Dario Garcia Garcia
While much work has been devoted to understanding the implicit (and explicit) regularization of deep nonlinear networks in the supervised setting, this paper focuses on unsupervised learning, i. e., autoencoders are trained with the objective of reproducing the output from the input.
