H13-321_V2.5 試験問題を無料オンラインアクセス

In natural language processing tasks, word vector evaluation is an important aspect for measuring the performance of a word embedding model. Which of the following statements about word vector evaluation are true?

• A.Word similarity tasks typically employ manually labeled datasets to evaluate word vectors, compute the cosine similarity between word vectors, and compare it with the manual labeling result.
• B.Extrinsic evaluation is the main method used for evaluating word vectors because it directly reflects the performance of word vectors in real-world application tasks.
• C.Word vector evaluation can be performed through intrinsic evaluation. Common methods include word similarity tasks and word analogy tasks.
• D.The word analogy task evaluates the capability of word vectors in capturing semantic relationships between words, for example, by determining whether "king - man + woman = ?" is close to "queen".

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.The HSV color space perceives colors differently from human eyes, so it is not suitable for image segmentation or color analysis.
• 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.Value is a measure of brightness. The image brightness can be enhanced by processing the V component of the HSV color space.
• D.Hue indicates the basic color attributes, such as red, green, and blue.

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.

• A.TRUE
• B.FALSE

Which of the following statements about the functions of the encoder and decoder is true?

• A.The decoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
• B.The encoder converts variable-length input sequences into fixed-length context vectors, encoding the information of the input sequences in the context vectors.
• C.The encoder converts context vectors into variable-length output sequences.
• D.The output lengths of the encoder and decoder are the same.

Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?

• A.Gamma correction applies only to grayscale images and does not apply to color images.
• B.When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
• C.Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
• D.When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.