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Huawei HCIP-AI-EI Developer V2.5 Sample Questions:

1. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

A) Gamma correction applies only to grayscale images and does not apply to color images.
B) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
C) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
D) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.

2. Maximum likelihood estimation (MLE) requires knowledge of the sample data's distribution type.

A) FALSE
B) TRUE

3. The deep neural network (DNN)-hidden Markov model (HMM) does not require the HMM-Gaussian mixture model (GMM) as an auxiliary.

A) FALSE
B) TRUE

4. Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.

A) FALSE
B) TRUE

5. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?

A) ReLU
B) Tanh
C) Sigmoid
D) SeLU

Solutions: