최신Huawei HCIP-AI-EI Developer V2.5 - H13-321_V2.5무료샘플문제
문제1
The mAP evaluation metric in object detection combines accuracy and recall.
The mAP evaluation metric in object detection combines accuracy and recall.
정답: A
설명: (ITDumpsKR 회원만 볼 수 있음)
문제2
A text classification task has only one final output, while a sequence labeling task has an output in each input position.
A text classification task has only one final output, while a sequence labeling task has an output in each input position.
정답: B
설명: (ITDumpsKR 회원만 볼 수 있음)
문제3
Which of the following are object detection algorithms?
Which of the following are object detection algorithms?
정답: A,B,C,D
설명: (ITDumpsKR 회원만 볼 수 있음)
문제4
The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.
The accuracy of object location detection can be evaluated using the intersection over union (IoU) value, which is a ratio. The denominator is the overlapping area between the prediction bounding box and ground truth bounding box, and the numerator is the area of union encompassed by both boxes.
정답: A
설명: (ITDumpsKR 회원만 볼 수 있음)
문제5
If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?
If a scanned document is not properly placed, and the text is tilted, it is difficult to recognize the characters in the document. Which of the following techniques can be used for correction in this case?
정답: C,D
설명: (ITDumpsKR 회원만 볼 수 있음)
문제6
In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.
In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.
정답: A
설명: (ITDumpsKR 회원만 볼 수 있음)
문제7
When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.
When training a deep neural network model, a loss function measures the difference between the model's predictions and the actual labels.
정답: B
설명: (ITDumpsKR 회원만 볼 수 있음)