NEW QUESTION 25
What are the adjacency relationships between two pixels whose coordinates are (21,13) and (22,12)?

NEW QUESTION 26
Which of the following is not an acoustic feature of speech?

NEW QUESTION 27
Which of the following is a learning algorithm used for Markov chains?

NEW QUESTION 28
Which of the following applications are supported by ModelArts ExeML?

NEW QUESTION 29
——- is a model that uses a convolutional neural network (CNN) to classify texts.

NEW QUESTION 30
The image saturation can be enhanced by processing the ________ component of the HSV color space. (Enter H, S, or V.)

NEW QUESTION 31
The natural language processing field usually uses distributed semantic representation to represent words.
Each word is no longer a completely orthogonal 0-1 vector, but a point in a multi-dimensional real number space, which is specifically represented as a real number vector.

NEW QUESTION 32
Which of the following is not an algorithm for training word vectors?

NEW QUESTION 33
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.

NEW QUESTION 34
The objective of ——– is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)

NEW QUESTION 35
How many parameters need to be learned when a 3 × 3 convolution kernel is used to perform the convolution operation on two three-channel color images?

NEW QUESTION 36
Which audio file formats can Huawei Cloud text-to-speech (TTS) generate?

NEW QUESTION 37
In the image recognition algorithm, the structure design of the convolutional layer has a great impact on its performance. Which of the following statements are true about the structure and mechanism of the convolutional layer? (Transposed convolution is not considered.)

NEW QUESTION 38
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.

NEW QUESTION 39
Which of the following statements about the functions of the encoder and decoder is true?

NEW QUESTION 40
Maximum likelihood estimation (MLE) can be used for parameter estimation in a Gaussian mixture model (GMM).

NEW QUESTION 41
Which of the following statements about the functions of layer normalization and residual connection in the Transformer is true?

NEW QUESTION 42
The attention mechanism in foundation model architectures allows the model to focus on specific parts of the input data. Which of the following steps are key components of a standard attention mechanism?

NEW QUESTION 43
Which of the following statements about the levels of natural language understanding are true?

NEW QUESTION 44
The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.

NEW QUESTION 45
Which of the following statements about the standard normal distribution are true?

NEW QUESTION 46
When the chi-square test is used for feature selection, SelectKBest and _____ function or class must be imported from the sklearn.feature_selection module. (Enter the function interface name.) chi2 Explanation:
In feature selection for classification tasks, thechi-square (#²)statistical test can be applied to evaluate the independence between features and target labels.
In Python’s scikit-learn library, this is implemented using:

NEW QUESTION 47
In an image preprocessing experiment, the cv2.imread(“lena.png”, 1) function provided by OpenCV is used to read images. The parameter “1” in this function represents a ——— -channel image. (Fill in the blank with a number.)

NEW QUESTION 48
In NLP tasks, transformer models perform well in multiple tasks due to their self-attention mechanism and parallel computing capability. Which of the following statements about transformer models are true?

NEW QUESTION 49
In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?