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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 how GPUs are used in gaming.
Question 2
Easy
Why are GPUs better suited for deep learning than CPUs?
π‘ Hint: Consider how many operations need to happen at once.
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 a GPU primarily used for in machine learning?
π‘ Hint: Think about how many operations need to occur at once in ML tasks.
Question 2
True or False: GPUs can only be used for graphics rendering.
π‘ Hint: Consider the versatility of GPU applications.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Analyze how the performance of a deep learning model like a CNN would change if trained on a GPU instead of a CPU. Provide metrics such as training time, accuracy, and scalability.
π‘ Hint: Consider the computational demands of the model and how GPUs manage these demands.
Question 2
Discuss the potential challenges and limitations that arise when using GPUs for machine learning, particularly in terms of resource management and model complexity.
π‘ Hint: Think about both hardware and software aspects in machine learning.
Challenge and get performance evaluation