+**Lstm** (Long Short-Term Memory) is a type of [Recurrent Neural Network](/wiki/recurrent_neural_network) specifically designed to learn and remember dependencies over long sequences of data. It addresses the vanishing gradient problem, making it highly effective for tasks like [Natural Language Processing](/wiki/natural_language_processing) and speech recognition.
+## See also
+- [Deep Learning](/wiki/deep_learning)
+- [Artificial Intelligence](/wiki/artificial_intelligence)
+- [Sequence Learning](/wiki/sequence_learning)
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