Practice Learning Rate Scheduling (7.6.2) - Deep Learning & Neural Networks
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Learning Rate Scheduling

Practice - Learning Rate Scheduling

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of learning rate scheduling?

💡 Hint: Think about how it affects weight updates.

Question 2 Easy

What is Step Decay in learning rate scheduling?

💡 Hint: Consider how intervals might improve training.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main purpose of learning rate scheduling?

To increase model size
To adjust learning over time
To select training data

💡 Hint: Think about what happens to the weights during training.

Question 2

Step Decay reduces the learning rate by a fixed amount every few epochs.

True
False

💡 Hint: Consider how intervals influence the learning process.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given that you start with a learning rate of 0.1 and apply step decay every 5 epochs with a decay factor of 0.1, what will the learning rate be after 20 epochs?

💡 Hint: Break down the epochs into groups of 5 to see how many times the decay applies.

Challenge 2 Hard

Design a theoretical deep learning model using adaptive learning rates and justify your choices based on potential training challenges.

💡 Hint: Think about the types of data your model might encounter and how varying learning rates would help.

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Reference links

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