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Recursive neural network

A recursive neural network is a kind of deep neural network created by applying the same set of weights recursively over a structured input, to produce a structured prediction over variable-size input structures, or a scalar prediction on it, by traversing a given structure in topological order. These networks were first introduced to learn distributed…

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Recursive neural network

Nodes29
Edges28
Triples6
Avg. degree1.93
Density0.068966
Components1

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Recursive neural network

Top relations

related to Recurrent neural networks · 2
Recursive neural network → Recurrent, Whereas
related to Tree Echo State Networks · 2
Recursive neural network → An, Tree Echo State Network
is a · 1
Recursive neural network → kind of deep neural network created by applying the same set of weights recursively over a structured input

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neural networks recursive network structure tree structures recurrent graphs representations gradient nodes used given introduced applications natural language sentences tensor

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SubjectPredicateObjectConfidenceSrc
Recursive neural networkis akind of deep neural network created by applying the same set of weights recursively over a structured input0.90text
the tanhinstance ofand a non-linearity0.80text
Recursive neural networkrelated to Recurrent neural networksRecurrent0.60section
Recursive neural networkrelated to Recurrent neural networksWhereas0.60section
Recursive neural networkrelated to Tree Echo State NetworksAn0.60section
Recursive neural networkrelated to Tree Echo State NetworksTree Echo State Network0.60section

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