Practice Recurrent Neural Networks (rnns) (8.5.2) - Deep Learning and Neural Networks

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9 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does RNN stand for?
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Remember the type of data they handle.
Question 2.
Name one application of RNNs.
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Think of tasks that deal with sequences.
3Question 3.
What is the primary design purpose of RNNs?
- For image classification
- For sequential data processing
- For static data analysis
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Think about where order and time matter.
4Question 4.
True or False: LSTMs can capture long-term dependencies better than regular RNNs.
- True
- False
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Recall how LSTMs differ from standard RNNs.
Question 5.
Develop a simple RNN from scratch to predict the next number in a sequence of integers: 1, 2, 3, 4. Explain your training process.
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Consider how each input leads to the next.
Question 6.
Imagine an application for RNNs not covered in the class. Describe how it would function and what challenges you might face.
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Think about how data influences the model and the importance of context.

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