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Get Perfect Results with Premium H13-311_V3.0 Dumps Updated 370 Questions [Q159-Q180]




Get Perfect Results with Premium H13-311_V3.0 Dumps Updated 370 Questions

Free H13-311_V3.0 Exam Study Guide for the NEW Dumps Test Engine


Huawei H13-311_V3.0 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Hardware Architecture of Ascend Chips
  • MindSpore Development and Application
Topic 2
  • Machine Learning Experiment
  • Mainstream Development Frameworks
  • Huawei AI Computing Platform Atlas
Topic 3
  • Software Architecture of Ascend Chips
  • Common Modules of TensorFlow 2.x
Topic 4
  • Mainstream Development Framework and Deep Learning Experiment
  • Common Machine Learning Algorithms
Topic 5
  • Other Key Machine Learning Methods
  • Machine Learning Definition
  • HUAWEI CLOUD Enterprise Intelligence Application Platform
Topic 6
  • Huawei Open AI Platform for Smart Devices
  • Basic Steps of Deep Learning Development
Topic 7
  • Developing Apps Based on Huawei HiAI Platform
  • Technical Fields and Application Fields of AI

 

QUESTION 159
When was the first time that “artificial intelligence” was proposed?

 
 
 
 

QUESTION 160
As shown in the figure below, find the value of determinant A.
|1 2 3|
A = |4 5 6|
|7 8 9|

 
 
 
 

QUESTION 161
What are the core concepts in TensorFlow? (Multiple Choice)

 
 
 
 

QUESTION 162
What are the Python language data types? (Multiple Choice)

 
 
 
 
 

QUESTION 163
Which of the following does not belong to the AI school?

 
 
 
 

QUESTION 164
According to the definition of information entropy, what is the information entropy of tossing a uniform coin?

 
 
 
 

QUESTION 165
What is wrong with the description of the lambda function in Python?

 
 
 
 

QUESTION 166
Traditional machine learning and deep learning are the core technologies of artificial intelligence. There is a slight difference in the engineering process. The following steps. What you don’t need to do in deep learning is:

 
 
 
 

QUESTION 167
Which is not a Python operator?

 
 
 
 

QUESTION 168
In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?

 
 
 
 

QUESTION 169
Which of the following are the characteristics of the Python language? {Multiple choice)

 
 
 
 

QUESTION 170
What are the application scenarios of TensorFlow?

 
 
 
 

QUESTION 171
What are the commonly used gradient descent optimization functions? (Multiple Choice)

 
 
 
 
 

QUESTION 172
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?

 
 
 
 

QUESTION 173
What does not belong to supervised learning?

 
 
 
 

QUESTION 174
Faced with the challenge of achieving efficient distributed training for ultra-large-scale models, MindSpore is handled as?

 
 
 

QUESTION 175
TensorFlow2.0 of keras.preprocessing The role is?

 
 
 
 

QUESTION 176
Recurrent neural networks are more suitable for processing image recognition problems.

 
 

QUESTION 177
Which of the following schools does the neural network study belong to?

 
 
 
 

QUESTION 178
When dealing with actual problems, when should machine learning be used in the following situations?

 
 
 
 

QUESTION 179
TensorFlow framework does not support Windows systems.

 
 

QUESTION 180
enter 32*32 Image with size 5*5 The step size of the convolution kernel is 1 Convolution calculation, output image Size is:

 
 
 
 

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Post date: 2023-02-24 09:45:43
Post date GMT: 2023-02-24 09:45:43
Post modified date: 2023-02-24 09:45:43
Post modified date GMT: 2023-02-24 09:45:43