Practice - Lab Objectives
Practice Questions
Test your understanding with targeted questions
What is the benefit of normalizing data?
💡 Hint: Consider how data is represented to the model.
Name a common optimizer used when compiling CNNs.
💡 Hint: Think about widely adopted techniques.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What are the key components to specify when compiling a model?
💡 Hint: Consider what controls the model's learning.
True or False: The pooling layer increases the spatial dimensions of the output feature maps.
💡 Hint: Think about how pooling affects the size of feature maps.
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Challenge Problems
Push your limits with advanced challenges
Given a dataset where images are of varying sizes, how would you adjust your preprocessing steps?
💡 Hint: Think about how CNNs expect input dimensions.
Design a simple CNN architecture for a classification task involving ten categories.
💡 Hint: Recall the structure discussed in class.
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Reference links
Supplementary resources to enhance your learning experience.