Assertion: recursive neural network | /r/HasProperty | rnn
Facets:
Source sentences:
text: Recursive neural network (RNN)
text: A recursive neural network (RNN) is a type of deep neural network formed by applying the same set of weights recursively over a structure to make a structured prediction over variable-size input structures, or a scalar prediction on it, by traversing a given structure in topological order .
text: However the original paper to propose the term specifically referred to recursive neural networks (RNN) adapted to take graph-structured data as their input:
text: In this paper, we described different variants of artificial neural networks, such as deep multilayer perceptron (MLP), convolutional neural network (CNN), recursive neural network (RNN), recurrent neural network (RNN), long short-term memory (LSTM), sequence-to-sequence model, and shallow neural networks including word2vec for word embeddings.