Huawei
H13-311_V3.5 · Question #272
Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular. The technology is:
The correct answer is A. L1 Regularization B. L2 Regularization C. Dropout. See the full explanation below for the reasoning.
Question
Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular. The technology is:
Options
- AL1 Regularization
- BL2 Regularization
- CDropout
- DMomentum optimizer
How the community answered
(21 responses)- A71% (15)
- D29% (6)
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