Long Short-Term Memory (LSTM) Networks

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LSTMs are a type of recurrent neural network (RNN) architecture that is well-suited for processing and predicting sequences with long-range dependencies.
Example: Using Keras to build an LSTM model for predicting stock prices based on historical data, where the relationship between past and future prices can span over long periods.

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