Long Short-Term Memory networks (LSTMs) are a type of recurrent neural network (RNN) capable of learning long-term dependencies. Unlike standard feedforward neural networks, LSTMs have feedback connections, making them well-suited for processing sequences of data, such as time series, text, and audio. They are commonly used in tasks like machine translation, speech recognition, and time series prediction due to their ability to remember information over extended periods.
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