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Free Online Dumps for Huawei H13-321-ENU Exam

H13-321-ENU exam is an important Huawei Certification which can test your professional skills. Candidates want to pass the exam successfully to prove their competence. Our technical experts have collected and certified all of H13-321-ENU questions and answers, which are designed to cover the knowledge points of the HCIP-AI-EI Developer V2.0 H13-321-ENU exam. With these H13-321-ENU prep questions, you can pass the H13-321-ENU easily and go further on Huawei career path.

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1. The background difference method is to use the current frame in the image sequence and the background reference model for subtraction, which can realize the detection of moving objects in the image.

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2. What are the traditional voice models?

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3. What is linguistic content?

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4. The bright part of an image is too bright and the dark part is too dark.

Which technique can be used to improve the visual effect of the image? (Single choice)

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5. What is not part of the DNN structure?

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6. Named entity recognition refers to recognizing entities with specific meanings in the text.

Which ones are mainly included? (Multiple Choice)

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7. How many brightness changes can a 4-bit image distinguish? (Single choice)

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8. When the human eye observes the surrounding world, the imaging of the object on the retina is inverted.

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9. Which of the following are hidden units.

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10. Which of the following is not a common method of text vectorization?

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11. What is the spatial adjacency of the two pixels with coordinates (21, 13) and coordinates (22.12)?

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12. In Chinese, the part-of-speech of a word is often not fixed. Generally speaking, words with the same homonym and different shapes have different grammars in different scenes, which brings great difficulties to the part-of-speech tagging.

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13. The output of the multi-parameter sensor is a continuous signal, and the digital signal can be processed only after the continuous signal is converted into a discrete signal.

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14. The core idea of convolutional neural network?

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15. What algorithm engines are supported by ModelArts training assignments? (Multiple Choice)

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16. What are the tasks in the voice domain that GMM is suitable for processing? (multiple choices)

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17. What is the correct description of probability and likelihood?

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18. In the vehicle detection scene of traffic law enforcement, the penalties for vehicles that violate regulations are rather missed, instead of false alarms, so as not to produce false fines, which of the system's instructions are high?

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19. Which of the following convolutional neural networks has the most layers?

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20. The bimodal method can automatically obtain the optimal segmentation threshold of the image, which is suitable for all gray image binarization tasks.

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21. Which AI scenarios are Huawei Ascend series chips for?

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22. (Judgment) In general, Huawei's artificial intelligence development strategy is based on continuous investment in basic research and AI talent training, creating a full-stack full-scenario AI solution and an open global ecology.

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23. Using binary digital segmentation, because of noise, the connected domains of all characters are glued together.

What method can be used to segment characters?

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24. What is not an acoustic feature of speech?

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25. Regarding the CBOW and Skip-Gram algorithms, is the following statement incorrect?

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26. (Judgment) The image filter operation is also called template operation. The commonly used template operations include template convolution and template sorting.

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27. What are the main functions of GMM in traditional speech recognition tasks?

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28. The background difference method is to use the current post in the image sequence and the background reference model for subtraction, which can realize the detection of moving objects in the image.

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29. What are the commonly used image coordinate transformations?

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30. What are the main functions of MoXing? (Single choice)

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31. In the GMM-HMM model, GMM is mainly used to find the probability of a certain factor, and HMM is mainly used to model each text-speech pair.

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32. What are the processing procedures included in image digitization? (Multiple choices)

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33. What are the difficulties of named entity recognition?

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34. What are the common color spaces in digital images?

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35. How many brightness changes can a 4-bit graphic distinguish?

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36. The status sequence of HMM can neither be obtained directly nor through observation sequence.

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37. Image target detection algorithm needs to be completed?

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38. Which of the following steps in the MFC extraction process?

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39. Which of the following options is not a method in the development of natural language processing?

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40. In image processing tasks, what is the true label of the data set?

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41. Which network structure does the convolutional neural network include?

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42. What is the difficulty of speech recognition?

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43. In the N-gram model, N refers to ignoring the effect of the above words with a distance greater than N. The larger the N, the richer the sequence information contained in the model, and the amount of calculation increases.

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44. A model in which several linear models are mixed together is called a linear mixed model.

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45. There are a lot of small noises in a photo during storage.

Which operation is the best for noise reduction?

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46. In natural language processing, the most commonly used deep learning algorithm is CNN, because of its memory function?

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47. Which of the following options is the method of automatically calculating the gradient.

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48. Which of the following options is not a commonly used algorithm for keyword extraction? (Single choice)

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49. What is the correct description about the Gaussian distribution curve?

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50. Which of the following is pretreatment?

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51. Modifying the H component of the HSV color space will change the image? (Single choice)

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52. When taking light, the face is relatively dark. Use gamma correction to enhance the image to achieve a clear light effect.

Which of the Y limit can be selected. (Single choice)

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53. When photographing a document with a mobile phone, the document in the image is distorted due to the shooting angle. You can find () coordinates of the corresponding key points, () transform the image, and correct the document image.

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54. Which of the following templates can achieve the sharpness of the image?

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55. The accuracy of the target detection position can be evaluated by the IOD value. The iout calculation method is to find the ratio of the union and intersection of the true annotations of the detection results.

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56. Markov chain is a discrete event stochastic process with Markov properties in exponential science.

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57. The request/response of HUAWEI CAI API in accordance with the design of RESTful API includes the following.

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58. Image recognition tasks can be divided into three levels, according to the abstraction of the processing content, from low to high?

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59. Use a 3*3 convolution kernel to convolve a three-channel color image.

What is the number of parameters to be learned?

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60. 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.

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61. What is the word segmentation method in the jieba framework?

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62. (Judgment) Back propagation is a common method used to train artificial neural networks.

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63. 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.

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64. Dropout is to randomly discard a certain proportion of sample data during model training.

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65. Convolve a pair of three-channel color images with two 3x3 convolution kernels.

How many channels does the resulting feature map have? (Single choice)

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66. The histogram operation of the image is to count the distribution frequency of the gray value of the whole image. When the illumination of the image is uneven, the operation effect of the histogram will be affected, and it is necessary to use an improved algorithm for image processing.

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67. What is the main task of syntactic analysis?

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68. Jieba framework is a toolkit for English character processing.

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69. Which of the following options does not belong to the three levels of natural language processing technology?

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70. What is the description of the standard normal distribution?

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