A neural network architecture with connections that loop back on themselves, giving the network an internal memory of what it has already processed, making it suited to sequential data such as language, audio and time series.
Facts
Core PrincipleThe output of a neuron at one time step is fed back as input to the network at the next time step. 1 Connections
Sources
1. Recurrent neural network - Wikipedia
Lead paragraph
the output of a neuron at one time step is fed back as input to the network at the next time step
In Group: Machine Learning Models, Lead
In artificial neural networks, recurrent neural networks (RNNs) are designed for processing sequential data, such as text, speech, and time series, where the order of elements is important.
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