Practice - Lab: Building and Training a Basic CNN for Image Classification using Keras
Practice Questions
Test your understanding with targeted questions
What is the recommended range for normalizing image pixel values?
💡 Hint: Consider the typical range of pixel values in images.
Which Keras layer is primarily used to reduce dimensionality in a CNN?
💡 Hint: Think about layers that simplify feature maps.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the primary purpose of normalization in image preprocessing?
💡 Hint: Remember the range we aim for with pixel values.
True or False: Pooling layers increase parameters in a CNN.
💡 Hint: Consider what pooling does to the data size.
1 more question available
Challenge Problems
Push your limits with advanced challenges
How might the architecture of a CNN change if it were designed to classify high-resolution images compared to standard CIFAR-10 images?
💡 Hint: Consider how detail changes with higher resolution.
Discuss the impact of adding dropout layers in a CNN. Where would you place them, and what benefits would they offer?
💡 Hint: Think about the balance between learning and overfitting.
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Reference links
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