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  1. Home
  2. Huawei Certification
  3. H13-311_V3.5 Exam
  4. Huawei.H13-311_V3.5.v2024-12-02.q142 Dumps
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Question 46

Which of the following statements about Python are correct? (Multiple choice)

Correct Answer: A,B,C,D
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Question 47

The global gradient descent, stochastic gradient descent, and batch gradient descent algorithms are gradient descent algorithms. Which of the following is true about these algorithms?

Correct Answer: D
The global gradient descent algorithm evaluates the gradient over the entire dataset before each update, leading to accurate but slow convergence, especially for large datasets. In contrast, stochastic gradient descent updates the model parameters more frequently, which allows for faster convergence but with noisier updates. While batch gradient descent updates the parameters based on smaller batches of data, none of these algorithms can fully guarantee finding the global minimum in non-convex problems, where local minima may exist.
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Question 48

Which of the following activation functions may cause the vanishing gradient problem?

Correct Answer: C,D
Both Sigmoid and Tanh activation functions can cause the vanishing gradient problem. This issue occurs because these functions squash their inputs into a very small range, leading to very small gradients during backpropagation, which slows down learning. In deep neural networks, this can prevent the weights from updating effectively, causing the training process to stall.
Sigmoid: Outputs values between 0 and 1. For large positive or negative inputs, the gradient becomes very small.
Tanh: Outputs values between -1 and 1. While it has a broader range than Sigmoid, it still suffers from vanishing gradients for larger input values.
ReLU, on the other hand, does not suffer from the vanishing gradient problem since it outputs the input directly if positive, allowing gradients to pass through. However, Softplus is also less prone to this problem compared to Sigmoid and Tanh.
HCIA AI
Reference:
Deep Learning Overview: Explains the vanishing gradient problem in deep networks, especially when using Sigmoid and Tanh activation functions.
AI Development Framework: Covers the use of ReLU to address the vanishing gradient issue and its prevalence in modern neural networks.
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Question 49

Which of the following neural network structures will share weights? (Multiple choice)

Correct Answer: B,D
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Question 50

The Python language can use the "#" at the beginning of a single line of code for code comments .

Correct Answer: A
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