Practice Deep Learning Architectures (30.9.2) - Introduction to Machine Learning and AI

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9 questions

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6 sample questions

Question 1.
What does CNN stand for?
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Think about networks used for images.
Question 2.
Which architecture is designed for sequence data?
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Recall the type that considers the prior order of data.
3Question 3.
What are CNNs primarily used for?
- Image processing
- Sound analysis
- Text processing
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Think of visuals and structural analysis.
4Question 4.
True or False: LSTM networks are a type of CNN.
- True
- False
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Recall the specific roles of these networks.
Question 5.
Design a simulation where a CNN analyzes images of structural defects. What data would you need, and how would you measure accuracy?
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Consider the importance of accurate labeling in training data.
Question 6.
Compose an argument for using LSTM networks over traditional predictive methods in monitoring structural integrity over time. What advantages do they offer?
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Think of a time series as a flowing river, where past states can influence future ones.

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