Practice - Dataset Preparation
Practice Questions
Test your understanding with targeted questions
What is the purpose of normalizing pixel values?
💡 Hint: Think about the range of pixel values in images.
How many classes are in the CIFAR-10 dataset?
💡 Hint: Consider how many different types of images it contains.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is the purpose of one-hot encoding?
💡 Hint: Think about how labels are represented in classification tasks.
True or False: Reshaping is not necessary when inputting images into CNNs.
💡 Hint: Consider the format CNNs expect for image data.
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Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.