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

1. GMM can theoretically fit all waveforms.

A) True
B) False

2. Which of the following are considerations for activation function design? (Multiple choice)

A) Monotonicity
B) Continuous Differentiability
C) Smoothness
D) Boundedness
E) Nonlinearity

3. In the field of deep learning, which of the following options are correct? (Multiple choice)

A) Update all parameter values through learning rate and gradient value to increase the loss value of the network
B) Update all parameter values through learning rate and gradient value to reduce the loss value of the network
C) Gradient descent is actually to find the partial derivative (gradient) of the loss value with respect to all parameters. The meaning of the gradient is the direction of the fastest change.
D) Learning Rate (LR) is an important hyperparameter in gradient descent

4. Word2vec is an open source tool from Google that can calculate the distance between words based on a set of input words.

A) True
B) False

5. The bimodal method can automatically find the optimal separation threshold of the image, but it is not suitable for all grayscale image binarization tasks.

A) True
B) False

Solutions: