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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are RNNs used for?
💡 Hint: Think about what types of input data have a sequence.
Question 2
Easy
Explain sentiment analysis in simple terms.
💡 Hint: Consider how emotions can be expressed in words.
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 type of network is primarily used for processing sequences?
- Convolutional Neural Network
- Recurrent Neural Network
- Feedforward Neural Network
💡 Hint: Consider which architecture is meant for remembering past inputs.
Question 2
True or False: LSTMs are better than standard RNNs at learning long-term dependencies.
- True
- False
💡 Hint: Consider the properties of LSTMs.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a basic structure for an RNN that could be used for sentiment analysis. Outline the layers and functions you would include.
💡 Hint: Think about the flow of data through the model.
Question 2
Examine a dataset to predict future stock prices. Discuss what features would be necessary to provide the RNN to enhance its predictions.
💡 Hint: Consider both historical data and external information impacting stock prices.
Challenge and get performance evaluation