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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a learning rate?
💡 Hint: Think about how quickly your cooking recipe differs with each step.
Question 2
Easy
What might happen if the learning rate is too high?
💡 Hint: Consider a car speeding past a stop sign.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the role of learning rate in training neural networks?
💡 Hint: Think about how much to adjust a recipe following a mistake.
Question 2
If the learning rate is too low, training will:
💡 Hint: Consider how slow a turtle moves.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a situation where your model diverged due to a high learning rate, outline steps you would take to diagnose and resolve the issue.
💡 Hint: Focus on methods that help stabilize training.
Question 2
In a practical scenario, how would you determine the optimal learning rate for your neural network?
💡 Hint: Imagine a speed test, gradually pushing limits.
Challenge and get performance evaluation