Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of CNNs?
💡 Hint: Think about the tasks involving images.
Question 2
Easy
Name one advantage of LSTMs over standard RNNs.
💡 Hint: Consider the challenges of vanishing gradients.
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 CNN stand for?
- Circular Neural Network
- Convolutional Neural Network
- Computational Neural Network
💡 Hint: Think about what kind of networks deal with images.
Question 2
True or False: LSTMs are a type of CNN.
- True
- False
💡 Hint: Consider the type of data they handle.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a deep learning architecture suitable for a self-driving car's perception system. Explain your choices.
💡 Hint: Consider what kind of data you would need to analyze.
Question 2
Evaluate the advantages and disadvantages of choosing RNNs vs. CNNs for a video processing task.
💡 Hint: Think about the features of both types of networks and the nature of video data.
Challenge and get performance evaluation