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Recurrent Neural Network
Definition
Recurrent Nerual Networks (RNN) are a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior.
References
Wikipedia. (2021, September 7). Recurrent Neural Network. Link
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A knowledge graph of cybersecurity countermeasures