May-2023 Huawei H13-311_V3.0 Actual Questions and Braindumps
H13-311_V3.0 Dumps To Pass Huawei Exam in 24 Hours - UpdateDumps
Huawei H13-311_V3.0 Exam Syllabus Topics:
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NEW QUESTION 23
The following options do not belong to the scope of Huawei's full-stack solution are?
- A. Chip enable
- B. Edge computing
- C. Application enable
- D. Open source framework
Answer: B
NEW QUESTION 24
Which of the following description about the relationship between the Poisson distribution and the binomial distribution is correct?
- A. Poisson distribution can replace binomial distribution
- B. Poisson d1stnbutJon 1s an approx1mallon of the bmom1al d1stnbubon when n 1s very large and p 1s small (
- C. Poisson distribution has no relationship with binomial distribution
- D. The mathematical model of the Poisson distribution and the binomial distribution are both Lagrangian models.
Answer: B
NEW QUESTION 25
Which of the following are AI Subfield?
- A. Natural language processing
- B. Machine learning
- C. Computer vision
- D. Speech Recognition
Answer: A,B,C,D
NEW QUESTION 26
What is wrong about expectations and variances in the following options?
- A. the greater the expectation, the smaller the variance
- B. expect to reflect the average level of random variable values
- C. Expectation and variance are both numerical characteristics of random variable
- D. Variance reflects the high degree of random variable and its mathematical expectation
Answer: A
NEW QUESTION 27
Which option does the convolutional neural network structure not include?
- A. convolutional layer
- B. pooling layer
- C. fully connected layer
- D. circulation layer
Answer: D
NEW QUESTION 28
What model is not a cyclic neural network?
- A. GRU
- B. GBOT
- C. LSTM
- D. RNN
Answer: B
NEW QUESTION 29
What are the mainstream deep learning open source tools? (Multiple choice)
- A. Scikit..Jeam
- B. Torch
- C. TensorFlow
- D. Theano
- E. Caffe
Answer: B,C,D,E
NEW QUESTION 30
When training the network of God, we often encounter many problems. For the problem of vanishing gradient, we can choose to make. Which of the following functions to alleviate the problem?
- A. Sigmoid function
- B. tanh function
- C. Softsign function
- D. Relu function
Answer: D
NEW QUESTION 31
With a lot of sales data but no labels, companies want to identify VIP Customer, the following model Suitable?
- A. Logistic regression
- B. K-Means
- C. SVM
- D. Hierarchical clustering
Answer: B,D
NEW QUESTION 32
TensorFlow is the second-generation artificial intelligence learning system developed by Google based on .
- A. PaleyFunction
- B. Infinity
- C. DistBelief
- D. ConvexOne
Answer: C
NEW QUESTION 33
Which of the following is not included in the recurrent neural network usage scenario?
- A. Machine translation
- B. Speech recognition
- C. Text generation
- D. Image style migration
Answer: D
NEW QUESTION 34
X. Y are random variables. C is a constant. which of the following description about the nature of the mathematical expectation is incorrect?
- A. E(X+Y) = E(X)+E{Y)
- B. E(XY) = E(X)E{Y)
- C. E(C) = CA. E(C) = C
- D. E(CX) = CE(X)
Answer: B
NEW QUESTION 35
Vector group a1=(1,1,1),a2=(0,2,5),a3=(1,3,6) Which of the following options is correct?
- A. a1+a2+a3=0
- B. linearly independent
- C. linearly related
- D. 2a1+a2+a3=0
Answer: A,D
NEW QUESTION 36
When dealing with actual problems, when should machine learning be used in the following situations?
- A. Task rules will change over time, such as defect detection on the production line
- B. The rules are very complicated or cannot be described, such as face recognition and voice recognition
- C. The data distribution itself changes over time, requiring continuous re-adaptation of the program, such as predicting the trend of merchandise sales
- D. The complexity of the rules is low, and the problem is small
Answer: A,B,C
NEW QUESTION 37
Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular. The technology is:
- A. Momentum optimizer
- B. L2 Regularization
- C. Dropout
- D. L1 Regularization
Answer: B,C,D
NEW QUESTION 38
What is not a deep learning algorithm?
- A. self-encoder
- B. convolutional neural network
- C. support vector machine
- D. recurrent neural network
Answer: C
NEW QUESTION 39
What does not belong to supervised learning?
- A. Decision tree
- B. Logistic regression
- C. Support vector machine
- D. Princi1pal component analysis
Answer: D
NEW QUESTION 40
The components of the Python identifier include: numbers, letters, and underscores.
- A. True
- B. False
Answer: A
NEW QUESTION 41
Image label service returned tag There can be more than one.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION 42
Atlas 200 DK Yiteng 310 The main application of the chip is?
- A. Model reasoning
- B. Build model
- C. Training model
Answer: A
NEW QUESTION 43
If the deep learning neural network has the problem of gradient disappearance or gradient explosion, our common solution is.
- A. Regularization
- B. Gradient shear
- C. use Relu Activation function
- D. Random undersampling
Answer: A,B,C
NEW QUESTION 44
According to the American Society of Automotive Engineers (SAE) The automatic driving is divided into Which level?
- A. L0~L5
- B. L1~L5
- C. L0~L4
- D. L1~L4
Answer: A
NEW QUESTION 45
What is wrong about the relationship between neural networks and deep learning?
- A. a neural network algorithm with multiple hidden layers is a deep learning algorithm
- B. The concept of deep learning stems from the study of artificial neural networks
- C. convolutional neural network is a type of deep learning
- D. and a single-layer neural network is also a kind of deep learning
Answer: D
NEW QUESTION 46
Huawei AI The whole scenario includes public cloud, private cloud, various edge computing, IoT industry terminals and consumer. The deployment environment of terminal, edge, and cloud for fee-based terminals.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION 47
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