1997
Sepp Hochreiter and Jürgen Schmidhuber introduce Long Short-Term Memory (LSTM), a type of recurrent neural network (RNN) designed to overcome the limitations of traditional RNNs, particularly their inability to capture long-term dependencies in data effectively. LSTM networks are widely used in applications such as handwriting recognition, speech recognition, natural language processing and time series forecasting.
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