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2 cards from this section. Quick, good the night before a test.
What is a gradient in calculus?
Think of how steep a slope is on a hill.
What does optimization aim to achieve in AI models?
It’s about making the model as effective as possible.
What is the purpose of calculus in AI?
Think about how we make systems better.
True or False: Gradients help in optimizing AI models by indicating where to adjust the parameters.
Remember how slopes work.
A neural network is not improving much during training. How would you use calculus concepts to identify the problem and adjust the learning process?
Consider how small changes affect the function.
Explain how you might apply both gradient descent and a momentum term to accelerate learning in an AI model.
Think about how past movements help in current decisions.
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