Practice Variants (5.3) - Deep Learning Architectures

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8 questions

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6 sample questions

Question 1.
What does CNN stand for?
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Think about the main focus of the model.
Question 2.
What is the main function of an RNN?
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Consider data that comes in order.
3Question 3.
What does CNN primarily handle?
- Video data
- Text data
- Image data
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Think about what types of data we visualize.
4Question 4.
True or False: GANs consist of two competing models.
- True
- False
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Remember the concept of competition in their operation.
Question 5.
Devise a scenario where you would choose a GAN over a CNN for a data generation task. Justify your choice.
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Consider tasks involving creativity or data that aren’t simply structured.
Question 6.
Explain the trade-offs when selecting between RNNs and LSTMs for time series forecasting.
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Think about how the past influences future predictions.

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