Machine Learning Foundations Certification Quiz

Machine Learning Foundations

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Assessment Question 1

What happens when the learning rate in gradient descent is set too high?

The model takes too many epochs to move from initialization

The weights may overshoot the minimum and diverge or oscillate uncontrollably

The model automatically achieves zero loss on the first step

The loss function becomes convex

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