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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is image classification?
💡 Hint: Think about how your phone recognizes faces in photos.
Question 2
Easy
Give an example of a pre-trained model.
💡 Hint: Consider models you have learned about in class.
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 the main purpose of image classification?
💡 Hint: Think about how your photo albums are organized!
Question 2
True or False: Pre-trained models require extensive data collection for every new application.
💡 Hint: They are built and trained already!
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a user-friendly AI application that combines image classification and keypoint detection for fitness. Explain how you would ensure accuracy and collect data.
💡 Hint: Consider how to engage users while collecting data.
Question 2
Analyze the ethical considerations involved in data collection for an image classification project focused on facial recognition.
💡 Hint: Think about how personal data is treated in society today.
Challenge and get performance evaluation