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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does GPU stand for?
π‘ Hint: Think of what is used for video games.
Question 2
Easy
What is the main purpose of a TPU?
π‘ Hint: Itβs a specialized processor.
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 processing unit is designed specifically for accelerating TensorFlow models?
π‘ Hint: Think about Google's specialized hardware.
Question 2
True or False: GPUs are not effective for parallel processing tasks.
π‘ Hint: Recall their common applications.
Solve 1 more question and get performance evaluation
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.
π‘ 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.
π‘ Hint: Explore creative solutions used in deep learning for model training.
Challenge and get performance evaluation