LSTM Notes

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LSTM Notes

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amrithkala shetty

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Notes on LSTM

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network (RNN)
capable of learning long-term dependencies. They are designed to avoid the long-term
dependency problem, which is common in standard RNNs. LSTMs use a system of gates—
input, forget, and output gates—to control the flow of information. This architecture makes
them effective for tasks like time-series forecasting, natural language processing, and
speech recognition.

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LSTM Notes

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LSTM Notes

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Notes on LSTM

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