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Created page with "{{see also|Machine learning terms}} ==Introduction== Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture that is specifically designed to handle long-range dependencies in sequential data. It was first introduced by Sepp Hochreiter and Jürgen Schmidhuber in 1997 to address the limitations of traditional RNNs, such as the vanishing gradient problem. LSTMs have since become a popular choice for various applications in machine lea..."