What are the advantages of using LSTM networks over traditional RNNs?
LSTM networks are better at capturing long-term dependencies in data, which traditional RNNs struggle with due to vanishing gradients.
Can you explain how LSTMs handle long sequences?
LSTMs use a gating mechanism to control the flow of information, allowing them to remember or forget information over long sequences.
Are there specific applications where LSTMs excel?
Yes, LSTMs are particularly effective in tasks like language modeling, speech recognition, and time series prediction.
What are some limitations of LSTMs?
While LSTMs are powerful, they can be computationally intensive and may require more data to train effectively compared to simpler models.
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