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3 cards from this section. Quick, good the night before a test.
What does CNN stand for?
It relates to a type of neural network designed for images.
Name one real-world application of CNNs.
It's used in smartphones and social media.
What does CNN stand for?
Think about the function of the model.
CNNs learn from:
This process is similar to human learning.
Describe a scenario where a CNN might fail due to overfitting. What could be done to prevent this?
Think about real-world implications of mistakes.
Create an analogy that explains how CNNs learn to recognize patterns similarly to a child learning to identify letters in the alphabet.
Consider how learning builds on simpler, foundational concepts.
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