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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is one key advantage of normalizing your dataset?
💡 Hint: Consider the impact of pixel values on computations.
Question 2
Easy
What does a convolutional layer do?
💡 Hint: Think about how your eyes perceive images.
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 primary purpose of normalization in dataset preparation?
- To increase data size
- To improve model performance
- To change class labels
💡 Hint: Think about how it might help the training process.
Question 2
True or False: Pooling layers can be used for reducing dimensionality.
- True
- False
💡 Hint: Recall how pooling compresses the information.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a CNN architecture for a new dataset you have and justify your choices of layer configurations.
💡 Hint: Consider the nature of the data and how different layers contribute to feature learning.
Question 2
Perform a comparative analysis between using a larger batch size versus a smaller batch size during training.
💡 Hint: Think about how the batch size impacts the training dynamics and optimization.
Challenge and get performance evaluation