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

1. 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) 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.
C) Learning Rate (LR) is an important hyperparameter in gradient descent
D) Update all parameter values through learning rate and gradient value to reduce the loss value of the network

2. What are the basic tasks of image recognition? (Multiple choice)

A) Image Segmentation
B) Object Detection
C) Image Classification
D) Target Tracking

3. Regarding CBOW and Skip-Gram algorithms, which of the following statements is incorrect?

A) Both CBOW and Skip-Gram can be used to train word embeddings, but Skip-Gram is faster than CBOW.
B) Skip-Gram calculates the probabilities of several words before and after a certain word.
C) CBOW calculates the probability of a word appearing based on the n words preceding it or the n consecutive words before and after it.
D) Both the CBOW model and the skip-gram model are based on the Huffman tree.

4. What are the preset models supported by ModelArts? (Multiple choice)

A) Gene sequencing
B) Image Detection
C) Image Segmentation
D) Image Classification

5. () The essence of the filter is to minimize the mean square value of the estimation error (defined as the difference between the expected response and the actual output of the filter), which can be applied to image restoration.

Solutions: