Recurrent Neural Networks

Long Short-Term Memory

An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla RNNs through additional cells, input and output gates. Intuitively, vanishing gradients are solved through additional additive components, and forget gate activations, that allow the gradients to flow through the network without vanishing as quickly.

(Image Source here)

(Introduced by Hochreiter and Schmidhuber)


Paper Code Results Date Stars


Task Papers Share
Language Modelling 26 3.94%
Sentiment Analysis 22 3.33%
Time Series Analysis 21 3.18%
Time Series Forecasting 20 3.03%
Machine Translation 14 2.12%
Decision Making 14 2.12%
Management 14 2.12%
Activity Recognition 12 1.82%
Classification 11 1.67%