Practice Rnn (3.2) - Deep Learning Architectures - Artificial Intelligence Advance

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9 questions

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6 sample questions

Question 1.
What is the main purpose of a Recurrent Neural Network?
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Think about the types of data sequences.
Question 2.
What does LSTM stand for?
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It relates to both long and short memory capacities.
3Question 3.
What do RNNs primarily work with?
- Images
- Sequential data
- Random data
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Think about what kind of data flows one after another.
4Question 4.
True or False: LSTMs can forget information selectively.
- True
- False
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Consider how the input and forget gates function.
Question 5.
Describe a New Application for RNNs and how they can be structured for optimal performance.
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Think about how past events influence future outcomes.
Question 6.
Create a comparison chart between RNNs, LSTMs, and GRUs outlining strengths, weaknesses, and practical uses.
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Focus on what each architecture is best at.

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