Deep Neural Networks Regularization for Structured Output Prediction

28 Apr 2015Soufiane BelharbiRomain HéraultClément ChatelainSébastien Adam

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 $x$... (read more)

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