Practice Tensorflow & Pytorch (20.6.2) - Concepts of Computer Vision

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8 questions

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Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is TensorFlow used for?
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Think about its applications in image processing.
Question 2.
Name one application of PyTorch.
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Consider its flexibility as an advantage.
3Question 3.
What is a primary feature of PyTorch?
- Static Computation Graph
- Dynamic Computation Graph
- Pre-trained Models
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Consider how each framework handles model definitions.
4Question 4.
True or False: TensorFlow is primarily used for research purposes.
- True
- False
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Think about TensorFlow's commercial and enterprise applications.
Question 5.
Consider a scenario where you have to create a facial recognition system. Discuss whether you would use TensorFlow or PyTorch, justifying your choice based on their features.
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Think about model flexibility versus structural robustness.
Question 6.
How would the choice between TensorFlow and PyTorch affect your project's timeline and results if you were building a self-driving car software?
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Consider the implications of time spent on experimentation versus final deployment.

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