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3 cards from this section. Quick, good the night before a test.
What is a learning rate?
Think about how quickly your cooking recipe differs with each step.
What might happen if the learning rate is too high?
Consider a car speeding past a stop sign.
What is the role of learning rate in training neural networks?
Think about how much to adjust a recipe following a mistake.
If the learning rate is too low, training will:
Consider how slow a turtle moves.
Given a situation where your model diverged due to a high learning rate, outline steps you would take to diagnose and resolve the issue.
Focus on methods that help stabilize training.
In a practical scenario, how would you determine the optimal learning rate for your neural network?
Imagine a speed test, gradually pushing limits.
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