Questions and Answers
What does RNN stand for?
Which type of data is well-suited for processing with RNNs?
What is the primary challenge in training RNNs?
Which architecture is known for addressing the vanishing gradient problem in RNNs?
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What is BPTT in the context of RNNs?
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Which application is NOT a suitable use case for RNNs?
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Which activation function is commonly used in RNNs to introduce non-linearity?
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What is the purpose of a memory cell in LSTM networks?
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What is the advantage of using GRU over LSTM in certain applications?
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In time-series analysis, what is a common task that RNNs are used for?
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