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4.3. Hardware and Deployment Considerations
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Mixed questions from across the chapter. Your answers get marked.
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2 cards from this lesson. Good the night before a test.
Try these first
- 1.
What is the main difference between a CPU and a GPU?
Hint
Think about the tasks each is best suited for.
- 2.
Name one advantage of using edge devices.
Hint
Consider where data processing takes place.
- 3.
What type of processor is best suited for deep learning tasks?
- CPU
- GPU
- TPU
Hint
Think about what deep learning requires.
- 4.
True or False: Edge devices are often less efficient than cloud computing for data processing.
- True
- False
Hint
Consider where the processing occurs.
- 5.
Design an AI application for a real-time traffic monitoring system. Discuss what hardware considerations you would take into account and why.
Hint
Focus on latency and processing needs.
- 6.
Explain how deploying an AI model in a cloud environment versus an edge environment would alter its performance and user experience.
Hint
Think about where and how data needs to be processed.
Exercises
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
4 more questions available
Enrol freeQuiz
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting
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Enrol freeChallenge Problems
Total Questions
2
Estimated Time
4 min
Passing Score
70%
Instructions
- Read each question carefully
- You can use hints if you need help
- Complete all questions before submitting