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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does RNN stand for?
💡 Hint: Think about networks that process sequences.
Question 2
Easy
What problem do RNNs face during training?
💡 Hint: This problem affects their learning ability.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does RNN stand for?
- Recurrent Neural Network
- Random Neural Network
- Regular Neural Network
💡 Hint: Think about how this network type functions.
Question 2
RNNs are primarily used for sequential data processing. (True/False)
- True
- False
💡 Hint: Consider what you learned about RNN applications.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a paragraph, design a simple RNN that could memorize and output the last two words of each sentence. Describe how you would implement this in a coding framework.
💡 Hint: Focus on input/output structures for the RNN.
Question 2
Explain how you would address the vanishing gradient problem if tasked with training an RNN on a long document. What techniques or models would you consider?
💡 Hint: Think about models/architectures that improve RNNs.
Challenge and get performance evaluation