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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Computer Vision?
💡 Hint: It's about understanding images.
Question 2
Easy
Name one application of Computer Vision.
💡 Hint: Think of your smartphone.
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 does Computer Vision aim to replicate?
💡 Hint: Think about the senses.
Question 2
True or False: Convolutional Neural Networks are used in Computer Vision.
💡 Hint: Recall what CNNs are used for.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given an image dataset containing various objects, outline the steps for training a CNN for object recognition. Include data preparation, model training, and evaluation.
💡 Hint: Think about the flow from data to evaluation.
Question 2
Discuss the implications of biases in training datasets on Computer Vision applications. How can this bias affect real-world applications?
💡 Hint: Consider the effects of skewed data on outcomes.
Challenge and get performance evaluation