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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is image classification?
💡 Hint: Think about labeling other types of data.
Question 2
Easy
Name one dataset commonly used for image classification.
💡 Hint: Consider resources available to machine learning practitioners.
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: Consider the activities done in everyday applications of image recognition.
Question 2
True or False: Data augmentation increases the amount of required training data.
💡 Hint: Think about how augmentation modifies existing images.
Solve 3 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a simple architecture for an image classification model using CNNs, detailing each layer's purpose.
💡 Hint: Think about the flow of data through different phases in CNN.
Question 2
Discuss the potential drawbacks or limitations of using transfer learning.
💡 Hint: Consider the factors influencing model performance post-transfer.
Challenge and get performance evaluation