most citedUnderstanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

152 citations · 152 across the 2 of their papers we have counts for

collaborators
Showing cs.NEShow all

1 paper · 1 filter

cs.NE2019★ 152 cited

Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks

Ralf C. Staudemeyer, Eric Rothstein Morris

Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN) are one of the most powerful dynamic classifiers publicly known. The network itself and the related learning algorithms…