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Huawei H13-311_V3.5 (HCIA-AI V3.5) Exam is a certification exam that focuses on the skills and knowledge required for Artificial Intelligence (AI) technologies. H13-311_V3.5 exam is designed to test the candidate's understanding of basic AI concepts, the ability to develop and deploy AI models, and the ability to use AI to solve business problems. The HCIA-AI V3.5 Exam is intended for individuals who want to pursue a career in AI technology or those who are already working in the field and want to enhance their skills.
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NEW QUESTION # 155
What is wrong description or backpropagation?
- A. until the response of the network to the input reaches the predetermined target range.
- B. The learning process or the backpropagation algorithm consists of a forward propagation process and a back-propagation process.
- C. The backpropagation algorithm is a learning algorithm suitable for multi-layer neural networks, which is based on the gradient descent method
- D. The backpropagation phase sends training inputs to the network to obtain an stimuli response
Answer: D
NEW QUESTION # 156
Regarding the face search service, which of the following statements are correct?
- A. There is a dedicated interface to delete the face data in a certain face set
- B. There is a dedicated interface to delete the specified face set
- C. The size of a face set cannot exceed 10000 Pictures
- D. When there is no face set, you need to create a face set first, then add face data, and then search
Answer: A,B,D
NEW QUESTION # 157
Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?
- A. Cannot process variable length sequence data.
- B. Unlike convolutional neural networks. parameters of RNN cannot be shared
- C. Can be used to process sequence data.
- D. The units above the hidden layer are not associated With each other.
Answer: C
NEW QUESTION # 158
The number or matrix is stored in the tensor
- A. False
- B. True
Answer: A
NEW QUESTION # 159
Which of the following conditions is not a condition that n-fold bernoulli trials needs to meet?
- A. There are only two possible outcomes for each trial, i.e. event A occurs and event A does not occur.
- B. Each test itself is obeying normal distribution
- C. The results of each trial are independent of each other.
- D. Each test was repeated under the same conditions.
Answer: B
NEW QUESTION # 160
During the two classification process, we can set any category as a positive example.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 161
Which description is wrong about the lambda function of the Python language?
- A. The lambda function can access the parameters in the global namespace.
- B. The lambda function accepts only one parameter value
- C. lambda is just an expression, and the function body is much simpler than def.
- D. The body of a lambda can be an expression or a block of code
Answer: B
NEW QUESTION # 162
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:
- A. Feature engineering
- B. Model building
- C. Data cleaning
- D. Model evaluation
Answer: A
NEW QUESTION # 163
Which of the following does the convolutional neural network structure not include?
- A. Loop layer
- B. Fully connected layer
- C. Pooling layer
- D. Convolutional layer
Answer: A
NEW QUESTION # 164
TensorFlow in keras The built-in optimizer of the module has?
- A. SGD
- B. Adadelta
- C. Adaboost
- D. Adam
Answer: A,B,C,D
NEW QUESTION # 165
In machine learning, what input the model needs to train itself and predict the unknown?
- A. Neural Networks
- B. historical data
- C. Manual procedure
- D. Training algorithm
Answer: B
NEW QUESTION # 166
The Python language can use multiple statements on the same line, separated by commas ".".
- A. False
- B. True
Answer: A
NEW QUESTION # 167
What of the following does belong to convolutional neural network (CNN)? (Multiple Choice)
- A. VGGNet
- B. GoogleNet
- C. AlexNet
- D. ResNet
Answer: A,B,C,D
NEW QUESTION # 168
TensorFlow2.0 of keras.preprocessing The role is?
- A. keras Model deployment tool
- B. keras Data processing tools
- C. Keras Generative model tool
- D. keras Built-in optimizer
Answer: B
NEW QUESTION # 169
Which of the following is not a module in the Tensorflow library?
- A. tf boost
- B. tf. layers
- C. tf.contrib
- D. tf.nn
Answer: A
NEW QUESTION # 170
In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur.
Strictly speaking, in which of the following links does the sample disappearance problem occur?
- A. Backpropagation calculation result
- B. Forward the dream and update
- C. Forward calculation results
- D. Backpropagation update parameters
Answer: D
NEW QUESTION # 171
HUAWEI HiAI Engine Can easily combine multiple AI Ability and App integrated.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 172
Atlas 200 DK Yiteng 310 The main application of the chip is?
- A. Build model
- B. Model reasoning
- C. Training model
Answer: B
NEW QUESTION # 173
What are the scenarios or industries that are suitable for using Python? (Multiple Choice)
- A. Hardware development
- B. Artlfic1al intelligence
- C. web development
- D. Game development
Answer: B,C,D
NEW QUESTION # 174
Which of the following about the description of expectations and variances is incorrect?
- A. The greater the expectation the smaller the variance
- B. The variance reflects the degree of deviation between the random variable and its mathematical expectation
- C. Expectation and variance are both numerical characteristics of random variables
- D. Expectation reflects the average level of random variable values
Answer: A
NEW QUESTION # 175
In the process of training the neural network, our goal is to keep the loss function reduced. Which of the following methods do we usually use to minimize the loss function?
- A. Regularization
- B. Dropout
- C. Cross-validation
- D. Gradient descent
Answer: D
NEW QUESTION # 176
Which of the following steps in deep learning are automatically completed by the model?
- A. Feature selection
- B. Feature extraction
- C. Analysis and positioning task
- D. Model training
Answer: A,B
NEW QUESTION # 177
In random forest, what strategy is used to determine the outcome of the final ensemble model?
- A. Cumulative system
- B. Cumulative system
- C. Voting system
- D. Find the average
Answer: C,D
NEW QUESTION # 178
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