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3 cards from this section. Quick, good the night before a test.
What is the main purpose of CNNs?
Think about the tasks involving images.
Name one advantage of LSTMs over standard RNNs.
Consider the challenges of vanishing gradients.
What does CNN stand for?
Think about what kind of networks deal with images.
True or False: LSTMs are a type of CNN.
Consider the type of data they handle.
Design a deep learning architecture suitable for a self-driving car's perception system. Explain your choices.
Consider what kind of data you would need to analyze.
Evaluate the advantages and disadvantages of choosing RNNs vs. CNNs for a video processing task.
Think about the features of both types of networks and the nature of video data.
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