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

Publications for Recurrent Neural Network

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