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Long Short-Term Memory - What is LSTM and how it works?
Answer
Long Short-Term Memory (LSTM) models are a specific type of Recurrent Neural Networks (RNNs) used for recognizing patterns within sequential data such as sensor readings, stock prices, or natural language. A unique architecture enables the LSTM model to decide whether to keep or discard previous information in its short-term memory.
