Deep Neural Networks Regularization for Structured Output Prediction

Soufiane Belharbi, Romain Hérault, Clément Chatelain +1

A deep neural network model is a powerful framework for learning representations. Usually, it is used to learn the relation $x\to y$ by exploiting the regularities in the input $x…