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[Feature Request]: Add Long Short-Term Memory (LSTM) networks in Deep Learning #3559

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Feature Description

Long Short-Term Memory (LSTM) networks are advanced deep learning models designed to process and predict sequences of data. They are particularly effective at capturing long-term dependencies and patterns in time series data by incorporating memory cells that maintain information over extended time intervals.

Use Case

Implementing LSTM networks would significantly enhance the project's ability to analyze and predict sequential data, such as stock prices, weather patterns, or user behavior over time. This capability would enable more accurate forecasting and trend analysis, leading to better decision-making and strategic planning.

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