Huawei H13-321-ENU HCIP-AI-EI Developer V2.0 Online Training
Huawei H13-321-ENU Online Training
The questions for H13-321-ENU were last updated at Jan 27,2025.
- Exam Code: H13-321-ENU
- Exam Name: HCIP-AI-EI Developer V2.0
- Certification Provider: Huawei
- Latest update: Jan 27,2025
Markov chain is a discrete event stochastic process with Markov properties in exponential science.
- A . TRUE
- B . FALSE
The request/response of HUAWEI CAI API in accordance with the design of RESTful API includes the following.
- A . Response message header
- B . Request URL
- C . Request message header
- D . Response message body
- E . Request message body
Image recognition tasks can be divided into three levels, according to the abstraction of the processing content, from low to high?
- A . Image processing, image analysis, image understanding
- B . Image analysis, image understanding, image processing
- C . Image understanding. Image analysis. Image Processing
- D . Image analysis, image processing, image understanding
Use a 3*3 convolution kernel to convolve a three-channel color image.
What is the number of parameters to be learned?
- A . 27
- B . 9
- C . 28
- D . 10
An APP that can display plant names and breeding methods after taking photos of plants in pots. Its core is the use of image classification technology.
- A . TRUE
- B . FALSE
What is the word segmentation method in the jieba framework?
- A . cut
- B . lcut_for_search
- C . lcut
- D . cut_for_search
(Judgment) Back propagation is a common method used to train artificial neural networks.
- A . TRUE
- B . FALSE
In the Gaussian mixture model, since the distribution of each sample point is unknown, it is impossible to use the maximum function to solve the parameters.
- A . TRUE
- B . FALSE
Dropout is to randomly discard a certain proportion of sample data during model training.
- A . TRUE
- B . FALSE
Convolve a pair of three-channel color images with two 3×3 convolution kernels.
How many channels does the resulting feature map have? (Single choice)
- A . 1
- B . 2
- C . 3
- D . 4
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