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Questions and Answers
What happens when the entries of the output gate in LSTM approach 1?
In what scenarios is bidirectional RNN useful?
What are the trainable parameters in LSTM networks?
How do bidirectional RNNs differ from traditional RNNs?
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What does an output gate close to 0 indicate in LSTM?
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For what type of systems are RNNs primarily designed?
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How do bidirectional RNNs leverage past and future observations?
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What differentiates bidirectional RNNs from traditional RNNs in terms of operation?
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