Field of Study:
Recurrent Neural Network
A Recurrent Neural Network (RNN) is a type of artificial neural network designed to recognize patterns in sequences of data, such as text, genomes, handwriting, or spoken words. Unlike traditional neural networks, RNNs have loops, allowing information to persist, which makes them ideal for processing sequences. They are called recurrent because they perform the same task for every element of a sequence, with the output being dependent on the previous computations.
Synonyms:
RNN
Papers published in this field over the years:
Hierarchy
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Publications for Recurrent Neural Network
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Researchers for Recurrent Neural Network
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