Free Huawei H13-321_V2.5 Exam Dumps Questions & Answers

In an HSV color space, H is for hue, S is for saturation, and V is for value. Which of the following statements about the HSV color space are true?

• A.  Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
• B.  Saturation describes how vivid the color is. The lower the saturation, the closer the color is to gray. The higher the saturation, the more vivid the color.
• C.  The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.
• D.  Hue indicates the basic color attributes, such as red, green, and blue.

Which of the following statements about the levels of natural language understanding are true?

• A.  Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
• B.  Pragmatic analysis is to study the influence of the language's external environment on the language users.
• C.  Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
• D.  Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
• E.  Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.

Which of the following ModelArts training parameters is used to customize hyperparameters?

• A.  Algorithm Type
• B.  Resource Pool
• C.  Hyperparameter
• D.  Compute Nodes

If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.

• A.  TRUE
• B.  FALSE

Which of the following has never been used as a method in the history of NLP?

• A.  Rule-based method
• B.  Deep learning-based method
• C.  Statistics-based method
• D.  Recursion-based method