Recurrent neural networks are a classification of artificial neural networks used in artificial intelligence (AI), natural language processing (NLP), deep learning, and machine learning.

Recurrent neural networks (RNNs) are an extension of feedforward neural networks (FNNs) in which we allow connections between hidden units associated with time delay (Elman 1990). Thus, RNNs can ...

A recurrent neural network structure exists in the most important part of the brain -- the frontal cortex -- and this network is less complex than has been thought and mostly unidirectional, new ...

And the two scientists learned that a recurrent neural network structure, or RNN, is responsible for those functions. “This RNN receives inputs from emotional regions of the brain and sends outputs to ...