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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is TensorFlow Lite?
π‘ Hint: Think about what makes it suitable for small devices.
Question 2
Easy
Why is it important to use lightweight tools in IoT?
π‘ Hint: Consider the limitations these devices face.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is one of the main advantages of using Edge Impulse?
π‘ Hint: Think about the target audience for this tool.
Question 2
True or False: TensorFlow Lite can only run on large computing systems.
π‘ Hint: Recap what TensorFlow Lite focuses on.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Propose an IoT solution for health monitoring using lightweight ML tools. Outline the steps from data collection to deployment.
π‘ Hint: Think about health metrics that can be monitored continuously.
Question 2
Evaluate the impact of limited network access on model updating for IoT devices. Suggest strategies to mitigate this.
π‘ Hint: Consider scenarios where IoT devices may not always connect.
Challenge and get performance evaluation