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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of normalizing pixel values?
💡 Hint: Think about the range of pixel values in images.
Question 2
Easy
How many classes are in the CIFAR-10 dataset?
💡 Hint: Consider how many different types of images it contains.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the purpose of one-hot encoding?
- To reduce file size
- To prepare cross-entropy loss function
- To enable output probabilities
💡 Hint: Think about how labels are represented in classification tasks.
Question 2
True or False: Reshaping is not necessary when inputting images into CNNs.
- True
- False
💡 Hint: Consider the format CNNs expect for image data.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where you have an unbalanced dataset with significantly more images of one class. How would this affect model training and what strategies can mitigate these effects?
💡 Hint: Consider how the distribution of samples impacts learning.
Question 2
You mistakenly loaded your dataset without normalizing the pixel values. Explain the potential outcomes during training.
💡 Hint: Think about how varied inputs can cause instability in optimization.
Challenge and get performance evaluation