Huawei Exam H13-311_V3.5 Topic 9 Question 11 Discussion

Actual exam question for Huawei's H13-311_V3.5 exam

Question #: 11
Topic #: 9

Which of the following statements are false about softmax and logistic?

AIn terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.

BMultiple logistic regressions can be combined to achieve multi-class classification effects.

CLogistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.

DIn the multi-class classification of softmax regression, the output classes are not mutually exclusive. That is, the word 'Apple' belongs to both the 'fruit' and '3C' classes.

Show Suggested Answer

Suggested Answer: A, B, C

Huawei Cloud ModelArts provides ModelBox, a tool for device-edge-cloud joint development, enabling efficient deployment across multiple environments. Some of its key optimization policies include:

Hardware affinity: Ensures that the models are optimized to run efficiently on the target hardware.

Operator optimization: Improves the performance of AI operators for better model execution.

Automatic segmentation of operators: Automatically segments operators for optimized distribution across devices, edges, and clouds.

Model replication is not an optimization policy offered by ModelBox.

by Claudio at Oct 19, 2024, 12:38 PM

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Donte

17 days ago

If a word can belong to both 'fruit' and '3C' classes, then I need to rethink my entire understanding of classification models. That's just bananas!

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Myrtie

18 days ago

I'm going with Option C as the false statement. The rest seem to accurately describe the differences between softmax and logistic regression.

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Haha, Option D is just ridiculous. What kind of classification model allows a single word to belong to multiple unrelated classes? Sounds like the exam writer needs to brush up on their machine learning basics.

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Alex

20 days ago

I think Option C is the correct answer. Logistic regression is for binary classification, while softmax is used for multi-class problems. That's a fundamental difference between the two.

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Antione

3 days ago

A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.

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2 months ago

I think statement A is false.

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Huawei Exam H13-311_V3.5 Topic 9 Question 11 Discussion

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Donte

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