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3 cards from this section. Quick, good the night before a test.
What is the main use of Convolutional Neural Networks?
Think about where CNNs are commonly applied.
Name a variant of RNN that helps with long-term dependencies.
It has ‘Long’ in its name.
What are CNNs primarily used for?
Consider what kind of data is structured in grids.
True or False: RNNs can effectively learn long-term dependencies without any modifications.
Think about the limitations discussed.
Given a sequence of words, design a simple RNN architecture that outputs the next probable word based on a context of previous words.
Think about how you would structure the flow of information through the network.
Evaluate the pros and cons of using CNNs versus traditional machine learning methods for image recognition tasks. What key factors should be considered?
Reflect on the characteristics of your data and the problem domain.
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