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Passcert new released H13-321 HCIP-AI-EI Developer V2.0 Dumps which can not only give you a good exam preparation to allow you pass your exam, but also provide you with one-year free update service.
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Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 1 Back propagation is a common method used to train artificial neural networks. Back propagation is a common method used to train artificial neural networks. A. TRUE A. TRUE B. FALSE B. FALSE Answer: A Answer: A 2
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 2 What are the processing procedures included in image digitization? (Multiple choices) What are the processing procedures included in image digitization? (Multiple choices) A. Binarization A. Binarization B. Quantification B. Quantification C. Grayscale transformation C. Grayscale transformation D. Sampling D. Sampling Answer: ABCD Answer: ABCD 3
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 3 How many brightness changes can a 4-bit image distinguish? (Single choice) How many brightness changes can a 4-bit image distinguish? (Single choice) A. 8 A. 8 B. 16 B. 16 C. 128 C. 128 D. 256 D. 256 Answer: A Answer: A 4
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 4 Modifying the H component of the HSV color space will change the image? (Single choice) Modifying the H component of the HSV color space will change the image? (Single choice) A. Hue A. Hue B. Brightness B. Brightness C. Saturation C. Saturation D. Contrast D. Contrast Answer: D Answer: D 5
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 5 The background difference method is to use the current frame in the image sequence and the background 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. reference model for subtraction, which can realize the detection of moving objects in the image. A. TRUE A. TRUE B. FALSE B. FALSE Answer: A Answer: A 6
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 6 What is the use process of ModelArts automatic learning? (Single choice) What is the use process of ModelArts automatic learning? (Single choice) A. Deploy online -> Model training -> Data annotation A. Deploy online -> Model training -> Data annotation B. Model training -> data annotation -> deployment online B. Model training -> data annotation -> deployment online C. Data annotation -> model training -> deployment online C. Data annotation -> model training -> deployment online D. Data annotation -> deployment online -> model training D. Data annotation -> deployment online -> model training Answer: C Answer: C 7
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 7 The image target detection algorithm needs to be completed? (Multiple choice) The image target detection algorithm needs to be completed? (Multiple choice) A. Calculation of target position A. Calculation of target position B. Judgment of target category B. Judgment of target category C. Calculation of confidence C. Calculation of confidence D. Calculation of target edge D. Calculation of target edge Answer: ABCD Answer: ABCD 8
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 8 Image feature extraction is a dimensionality reduction idea, which can effectively reduce the Image feature extraction is a dimensionality reduction idea, which can effectively reduce the amount of image data. amount of image data. A. TRUE A. TRUE B. FALSE B. FALSE Answer: A Answer: A 9
Download Passcert valid H13-321 exam dumps to pass your H13-321 exam successfully Question 9 Convolve a pair of three-channel color images with two 3x3 convolution kernels. How Convolve a pair of three-channel color images with two 3x3 convolution kernels. How many channels does the resulting feature map have? (Single choice) many channels does the resulting feature map have? (Single choice) A. 1 A. 1 B. 2 B. 2 C. 3 C. 3 D. 4 D. 4 Answer: C Answer: C 10
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