Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Time Series Prediction

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Computers
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9th - 12th Grade
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Hard
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the main goal of the lecture regarding RNNs?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the activation function in an RNN model?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
Why is it important to ensure that the validation set contains future data points?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the RNN model differ from the autoregressive linear model in terms of flexibility?
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What happens when an RNN is set to have no activation function?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the expected results when using a noisy sine wave for forecasting?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the performance of an RNN with tanh activation compare to that of a linear model?
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