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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
[All H13-311_V3.5 Questions]

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

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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
1 months 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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Rima
8 days ago
D) In 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.
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Ilda
11 days ago
C) Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.
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James
20 days ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
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Myrtie
1 months 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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Elliott
1 months ago
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
1 months 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
24 days ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
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Viva
2 months ago
Option D seems a bit bizarre. How can a word belong to multiple mutually exclusive classes? That doesn't make sense to me.
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Alline
20 days ago
C) Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.
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Zachary
25 days ago
B) Multiple logistic regressions can be combined to achieve multi-class classification effects.
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Martha
27 days ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
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Leonida
3 months ago
I believe statement D is false. In softmax regression, the output classes are mutually exclusive.
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Leonida
3 months ago
I agree with you, Tanja. Softmax uses the multinomial distribution, not polynomial.
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Tanja
3 months ago
I think statement A is false.
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