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・ Recursive Bayesian estimation
・ Recursive categorical syntax
・ Recursive competitive equilibrium
・ Recursive data type
・ Recursive definition
・ Recursive descent parser
・ Recursive economics
・ Recursive filter
・ Recursive function
・ Recursive grammar
・ Recursive indexing
・ Recursive InterNetwork Architecture (RINA)
・ Recursive join
・ Recursive language
・ Recursive least squares filter
Recursive neural network
・ Recursive ordinal
・ Recursive partitioning
・ Recursive recycling
・ Recursive science fiction
・ Recursive self-improvement
・ Recursive set
・ Recursive transition network
・ Recursive tree
・ Recursive wave
・ Recursive XY-cut
・ Recursively enumerable language
・ Recursively enumerable set
・ Recursively inseparable sets
・ Recurso de amparo


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Recursive neural network : ウィキペディア英語版
Recursive neural network

A recursive neural network (RNN) is a kind of deep neural network created by applying the same set of weights recursively over a structure, to produce a structured prediction over variable-length input, or a scalar prediction on it, by traversing a given structure in topological order. RNNs have been successful in learning sequence and tree structures in natural language processing, mainly phrase and sentence continuous representations based on word embedding. RNNs have first been introduced to learn distributed representations of structure, such as logical terms.
== Architectures ==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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