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Exam Professional Machine Learning Engineer All Questions

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Exam Professional Machine Learning Engineer topic 1 question 100 discussion

Actual exam question from Google's Professional Machine Learning Engineer
Question #: 100
Topic #: 1
[All Professional Machine Learning Engineer Questions]

You are an ML engineer at a manufacturing company. You need to build a model that identifies defects in products based on images of the product taken at the end of the assembly line. You want your model to preprocess the images with lower computation to quickly extract features of defects in products. Which approach should you use to build the model?

  • A. Reinforcement learning
  • B. Recommender system
  • C. Recurrent Neural Networks (RNN)
  • D. Convolutional Neural Networks (CNN)
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Suggested Answer: D 🗳️
by ares81 at Dec. 15, 2022, 5:03 p.m.

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bc3f222
2 months, 2 weeks ago
Selected Answer: D
If image then CNN, moreover other options not suitable for image problems, RNN is sequential so can be used for time series or as LSTM for text classification
upvoted 1 times
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MultiCloudIronMan
7 months, 1 week ago
Selected Answer: D
CNN is commonly used for image classifications
upvoted 3 times
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Scipione_
1 year, 5 months ago
Selected Answer: D
D for sure
upvoted 1 times
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M25
1 year, 6 months ago
Selected Answer: D
Went with D
upvoted 1 times
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TNT87
1 year, 8 months ago
Selected Answer: D
Answer D
upvoted 1 times
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FherRO
1 year, 8 months ago
Selected Answer: D
CNNs commonly used for image classification and recognition tasks.
upvoted 1 times
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FherRO
1 year, 8 months ago
Selected Answer: D
CNN scenario
upvoted 1 times
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enghabeth
1 year, 9 months ago
Selected Answer: D
best way
upvoted 1 times
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hiromi
1 year, 10 months ago
Selected Answer: D
D CNN is good for images processing - https://developers.google.com/machine-learning/practica/image-classification/convolutional-neural-networks
upvoted 1 times
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ares81
1 year, 10 months ago
Selected Answer: D
Obviously D.
upvoted 2 times
...
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