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NEW QUESTION # 252
As the following, what are the Python language design philosophy? (Multiple Choice)
- A. Simple
- B. Explicit
- C. Expensive
- D. Beautiful
Answer: A,B,D
NEW QUESTION # 253
The concept of "artificial intelligence" was first proposed in the year of:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
Explanation:
The concept of "artificial intelligence" was first formally introduced in 1956 during the Dartmouth Conference, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. This event is widely regarded as the birth of AI as a field of study. The conference aimed to explore the idea that human intelligence could be simulated by machines, laying the groundwork for subsequent AI research and development.
This date is significant in the history of AI because it marked the beginning of a concentrated effort to develop machines that could mimic cognitive functions such as learning, reasoning, and problem-solving.
NEW QUESTION # 254
"Today's speech processing technology can achieve a recognition accuracy of over 90% in any case." Which of the following is true about this statement?
- A. This statement is correct. Speech processing has a long history and the technology is very mature.
- B. This statement is incorrect. The accuracy of speech recognition is high, but not extremely high.
- C. This statement is correct. Speech processing can achieve a high level of accuracy.
- D. This statement is incorrect. In many situations, noise and background sound have a huge impact on speech recognition accuracy.
Answer: D
Explanation:
While speech recognition technology has improved significantly, its accuracy can still be affected by external factors such as noise, background sound, accents, and speech clarity. Although systems can achieve over 90% accuracy under controlled conditions, the accuracy drops in noisy or complex real-world environments. Therefore, the statement that today's speech processing technology can always achieve high recognition accuracy is incorrect.
Speech recognition systems are sophisticated but still face challenges in environments with heavy noise, where the technology has difficulty interpreting speech accurately.
NEW QUESTION # 255
Which of the following is not the difference between Python 2 and Python 3?
- A. print
- B. xrange
- C. Unicode
- D. import
Answer: D
NEW QUESTION # 256
The constituent elements of the Python identifier include: numbers, letters, and underscores.
- A. False
- B. True
Answer: B
NEW QUESTION # 257
About Python correct tuple, which is correct description? (Multiple choice)
- A. When a tuple contains only one element you need to add a comma after the element
- B. The difference between a list and a tuple is that the elements of the tuple cannot be
- C. Tuple creation is very simple just add elements in parentheses and separate them wrth commas
- D. The list uses square brackets and the tuple uses parentheses
Answer: A,B,C,D
NEW QUESTION # 258
Artificial intelligence is currently suitable for scenarios with I' known environment, clear objectives, and predictable action ? Deep learning in the fields of image recognition, speech recognition, translation, etc , artificial intelligence basically has human recognition ability. even surpassing human beings Based on these capabilities. it has been applied to many scenes such as medical care and public safety However, there is still a lack of reasoning and cognition
- A. False
- B. True
Answer: B
NEW QUESTION # 259
All kernels of the same convolutional layer in a convolutional neural network share a weight.
- A. TRUE
- B. FALSE
Answer: B
Explanation:
In a convolutional neural network (CNN), each kernel (also called a filter) in the same convolutional layer does not share weights with other kernels. Each kernel is independent and learns different weights during training to detect different features in the input data. For instance, one kernel might learn to detect edges, while another might detect textures.
However, the same kernel's weights are shared across all spatial positions it moves across the input feature map. This concept of weight sharing is what makes CNNs efficient and well-suited for tasks like image recognition.
Thus, the statement that all kernels share weights is false.
HCIA AI
Reference:
Deep Learning Overview: Detailed description of CNNs, focusing on kernel operations and weight sharing mechanisms within a single kernel, but not across different kernels.
NEW QUESTION # 260
In what year did Huawei officially provide services in the form of cloud services, and combined with more partners to provide richer artificial intelligence practices?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION # 261
Which of the following are the characteristics of TensorFlow? (Multiple choice)
- A. Flexible
- B. Convenience
- C. Open source
- D. Mature
Answer: A,B,C,D
NEW QUESTION # 262
Deep learning algorithms can be divided into supervised learning and unsupervised learning.
- A. False
- B. True
Answer: B
NEW QUESTION # 263
The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network.
The following statement about its impact is correct.:
- A. Increase the number of hidden layers appropriately, the stronger the resolution ability of the neural network
- B. The number of hidden layers increases appropriately, the weaker the resolution ability of the neural network
- C. The number of hidden layers is appropriately reduced, the stronger the resolution ability of the neural network is
- D. The number of hidden layers is appropriately reduced, and the resolution ability of the neural network remains unchanged
Answer: A
NEW QUESTION # 264
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?
- A. Backpropagation algorithm
- B. Forward propagation algorithm
- C. Pooling calculation
- D. Convolution calculation
Answer: A
NEW QUESTION # 265
Which of the following statements about supervised learning is correct?
- A. Supervised learning is a rule-based algorithm
- B. Supervised learning cannot use cross-validation for training
- C. Decision tree is a supervised learning
- D. Supervised learning can be trained without labels
Answer: C
NEW QUESTION # 266
The following options do not belong to the scope of Huawei's full-stack solution are?
- A. Chip enable
- B. Open source framework
- C. Edge computing
- D. Application enable
Answer: C
NEW QUESTION # 267
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