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Recurrent Neural Networks

Recurrent Neural Networks

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Recurrent Neural Networks (RNN)are a class of neural networks that can predict the future... The idea behind RNNs is to make use of sequential information. In a traditional neural network it is assumed that all inputs (and outputs) are independent of each other. But for many tasks that approach is not best. If you want to predict the next word in a sentence you better know which words came before it.  RNNs are called recurrent because they perform the same task for every element of a sequence, with the output being depended on the previous computations.  For certain sequential machine learning tasks, such as speech recognition, RNNs are reaching levels of predictive accuracy, that no other algorithm can match.
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