Recursive Neural Network

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Recursive Neural Network

Recursive Neural Networks are a generalization of Recurrent Neural Networks to a tree-like structure. The same weights are applied at each recursion. Just like RNNs, Recursive Neural Networks can be trained end-to-end using backpropagation. While it is possible to learn the tree structure as part of the optimization problem, Recursive Neural Networks are often applied to problem that already have a predefined structure, like a parse tree in Natural Language Processing. • Parsing Natural Scenes and Natural Language with Recursive Neural Networks

  Contributeurs : Pitpitt,