Practice GPU and TPU Acceleration - 12.4.1 | 12. Scalability & Systems | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does GPU stand for?

πŸ’‘ Hint: Think of what is used for video games.

Question 2

Easy

What is the main purpose of a TPU?

πŸ’‘ Hint: It’s a specialized processor.

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 processing unit is designed specifically for accelerating TensorFlow models?

  • CPU
  • GPU
  • TPU
  • APU

πŸ’‘ Hint: Think about Google's specialized hardware.

Question 2

True or False: GPUs are not effective for parallel processing tasks.

  • True
  • False

πŸ’‘ Hint: Recall their common applications.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Investigate a scenario where a company decided to switch their training model from GPUs to TPUs. Analyze the expected improvements in terms of processing speed and discuss potential pitfalls they might face.

πŸ’‘ Hint: Consider both technical advantages and resource management.

Question 2

A model requires more memory than available in either GPUs or TPUs. Discuss strategies to overcome this issue in training deep learning models.

πŸ’‘ Hint: Explore creative solutions used in deep learning for model training.

Challenge and get performance evaluation