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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:

Huawei HCIP-AI-EI Developer V2.0 Sample Questions:

1. The (swish) function is obtained by (), so it does not need to be obtained through inferential calculation.

2. Which of the following options does not belong to the three elements of the Markov model?

A) State Collection
B) Transition Probability
C) Initial Probability
D) Observation Probability

3. Traditional machine learning models have limited model capacity. Therefore, when the feature dimension is large, the performance will be very poor. Therefore, we need to do feature extraction and selection in traditional machine learning projects.

A) True
B) False

4. For a 32-level grayscale image, how many levels can be distinguished from the darkest to the brightest at each sampling point?

A) 32
B) 256
C) 128
D) 64

5. Which of the following is not an advantage of the ReLU series of activation functions over the Sigmoid and Tanh activation functions?

A) ReLU can cause neuron death during its training process.
B) The unilateral inhibition of ReLU provides the sparse expression ability of the network.
C) From a computational perspective, both Sigmoid and Tanh activation functions require exponential calculations and are highly complex, while ReLU only requires a threshold to obtain an activation value.
D) The non-saturation of ReLU can effectively solve the problem of gradient disappearance and provide a relatively wide activation boundary.

Solutions: