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VCEPrep Actual and Updated Huawei H13-321_V2.0 PDF Questions

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Huawei HCIP-AI-EI Developer V2.0 Sample Questions (Q298-Q303):

NEW QUESTION # 298
The higher the value on the diagonal of the confusion matrix, the better the classification effect of the classifier.

A. False
B. True

Answer: B

NEW QUESTION # 299
Which of the following descriptions of the "boundedness" factors that need to be considered when designing activation functions are correct? (Multiple choice)

A. If the activation function is unbounded, training is usually more efficient, but the training is prone to divergence. In this case, the learning rate can be appropriately reduced.
B. If the activation function is bounded, the loss function associated with a single-layer model is convex
C. If the activation function is bounded, gradient-based training methods tend to be more stable
D. Bounded functions have been shown to generalize better in some cases

Answer: A,C

NEW QUESTION # 300
What is the output of graphical analysis?

A. Image pixel value (no need to analyze, can be directly retrieved)
B. Image grayscale value (no need to analyze, can be directly retrieved)
C. Image size (no need to analyze, can be directly retrieved)
D. Image Content

Answer: D

NEW QUESTION # 301
Which of the following statements about the sigmoid function is correct? (Multiple choice)

A. When the network is very deep, the modulus of the gradient becomes smaller and smaller
B. Generally speaking, within 5 layers of Sigmoid network, the gradient will degenerate to 0, making it difficult to train. This phenomenon is called the vanishing gradient phenomenon.
C. Sigmoid function is monotonous and continuous, easy to derive, bounded output, and the network is easy to converge.
D. Sigmoid output is not centered on 0

Answer: A,B,C

NEW QUESTION # 302
What color does the RGB value (124, 252, 0) represent?

A. Pure black
B. Pure blue
C. Sky blue
D. Lawn Green

Answer: D

NEW QUESTION # 303
......

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