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A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle.
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Are word embeddings further updated during training for document classification?
From a large corpus of documents, I train word2vec word embedding vectors and afterwards I am going to use these for document classification, combined with RNN based classifiers (LSTM, GRU), which is a … Is it the common practice to update the embedding vectors as well as the RNN parameters during the training of the sequence classifier or should we leave them as constant (in order to avoid overfitting …