QUESTION 77
Which of the following concepts is used to calculate the derivative of a composite function?

QUESTION 78
What is the main difference between supervised and unsupervised algorithms?

QUESTION 79
Which of the following is the most important change in the CD-DNN-HMM model?

QUESTION 80
Gamma change is () processing, histogram equalization is () processing, mean filtering is () processing. ()

QUESTION 81
Which of the following is not a difficulty in named entity recognition?

QUESTION 82
Huawei’s artificial intelligence chip is (), and the architecture adopted is () architecture

QUESTION 83
The upper limit of IoU prediction is 100%.

QUESTION 84
Which of the following aspects does natural language processing include? (Multiple choice)

QUESTION 85
Natural language understanding and analysis is a hierarchical process. Please sort the natural language understanding levels in progressive order.
The order from low to high should be (fill in the serial number) 1) lexical analysis, 2) semantic analysis, 3) pragmatic analysis, 4) phonetic analysis, 5) syntactic analysis

QUESTION 86
The three main problems of ________ include evaluation problems, decoding problems, and learning problems.

QUESTION 87
RNN can save context information.

QUESTION 88
The main purpose of image preprocessing is to eliminate irrelevant information in the image, restore useful real information, enhance the detectability of relevant information, and simplify the data to the maximum extent, thereby improving the reliability of feature extraction, image segmentation, matching and recognition.

QUESTION 89
The XOR problem refers to the prediction of an output obtained through an XOR logic gate for two given binary inputs. When the inputs are not equal, the output is 1, otherwise the output is 0. ()

QUESTION 90
Which of the following belongs to the LDA training process? (Multiple choice)

QUESTION 91
Which of the following sklearn.feature_extraction.text modules implements the tf_idf function? (Multiple choice)

QUESTION 92
Which of the following can be done using Tensorboard? (Multiple choice)