Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

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?

Show Suggested Answer Hide 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

Limited Time Offer

25%

Off

Get Premium H13-311_V3.5 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Donte
3 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!
upvoted 0 times
Rima
2 months 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.
upvoted 0 times
...
Ilda
2 months ago
C) Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.
upvoted 0 times
...
James
2 months ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
upvoted 0 times
...
...
Myrtie
3 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.
upvoted 0 times
...
Elliott
3 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.
upvoted 0 times
...
Alex
3 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.
upvoted 0 times
Socorro
1 months 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.
upvoted 0 times
...
Moon
1 months ago
That's correct. Logistic regression is indeed for binary classification, while softmax is for multi-class problems.
upvoted 0 times
...
Maxima
1 months ago
C) Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.
upvoted 0 times
...
Antione
2 months ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
upvoted 0 times
...
...
Viva
3 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.
upvoted 0 times
Alline
2 months ago
C) Logistic is used for binary classification problems, whereas softmax is used for multi-class classification problems.
upvoted 0 times
...
Zachary
2 months ago
B) Multiple logistic regressions can be combined to achieve multi-class classification effects.
upvoted 0 times
...
Martha
2 months ago
A) In terms of probability, softmax modeling uses the polynomial distribution, whereas logistic modeling uses the binomial distribution.
upvoted 0 times
...
...
Leonida
4 months ago
I believe statement D is false. In softmax regression, the output classes are mutually exclusive.
upvoted 0 times
...
Leonida
4 months ago
I agree with you, Tanja. Softmax uses the multinomial distribution, not polynomial.
upvoted 0 times
...
Tanja
4 months ago
I think statement A is false.
upvoted 0 times
...

Save Cancel