Practice Learning Rate Scheduling - 7.6.2 | 7. Deep Learning & Neural Networks | Advance Machine Learning
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7.6.2 - Learning Rate Scheduling

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the purpose of learning rate scheduling?

πŸ’‘ Hint: Think about how it affects weight updates.

Question 2

Easy

What is Step Decay in learning rate scheduling?

πŸ’‘ Hint: Consider how intervals might improve training.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is the main purpose of learning rate scheduling?

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

πŸ’‘ 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

πŸ’‘ Hint: Consider how intervals influence the learning process.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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?

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

Question 2

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

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

Challenge and get performance evaluation