Practice Tensorflow / Pytorch (6.2) - Computer Vision and Image Intelligence

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10 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is TensorFlow?
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Think about the framework used in production.
Question 2.
What is one benefit of using PyTorch?
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Consider why researchers might prefer it.
3Question 3.
Which deep learning framework is known for its dynamic computation graphs?
- TensorFlow
- PyTorch
- Both
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Think about which framework encourages rapid iteration.
4Question 4.
True or False: TensorFlow is primarily used in academic settings.
- True
- False
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Consider the context of the two frameworks.
Question 5.
Compare and contrast the static and dynamic graph execution models. Provide pros and cons for both in a research and production scenario.
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Think about your specific needs in a project.
Question 6.
Given a project that requires rapid prototyping and frequent adjustments, justify the choice of PyTorch over TensorFlow. Discuss potential downsides as well.
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Weigh the pros of agility against the cons of deployment complexity.

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