Exam Code: H13-311_V3.0
Exam Name: HCIA-AI V3.0
Updated: Apr 29, 2024
Q&As: 369
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The following statement about recurrent neural networks is wrong?
A. Recurrent neural network can be unfolded according to the time axis
B. LSTM Unable to solve the problem of vanishing gradient
C. LSTM It is also a recurrent neural network
D. Recurrent neural network can be abbreviated as RNN
Which of the following is not MindSpore common Operation?
A. signal
B. math
C. nn
D. array
Regarding the face search service, which of the following statements are correct?
A. When there is no face set, you need to create a face set first, then add face data, and then search
B. The size of a face set cannot exceed 10000 Pictures
C. There is a dedicated interface to delete the specified face set
D. There is a dedicated interface to delete the face data in a certain face set
Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)
A. Increase the amount of data
B. Feature Engineering
C. Reduce regularization parameters
D. Add features
Which description is wrong about the hyperparameter?
A. 1-typerparameters are parameters that set values before the algorithm begins learning.
B. Most machine learning algorithms have hyperparameters.
C. Hyperparameters cannot be modified
D. The value of the hyperparameter is not learned by the algorithm itself.
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