Free Huawei H13-311_V3.5 Exam Questions

Become Huawei Certified with updated H13-311_V3.5 exam questions and correct answers

Page: 1 / 86

Total 429 Questions | Updated On: Jan 07, 2024

Add To Cart

Question 1

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?

A : The batch gradient algorithm can solve the problem of local minimum value.

B : The global gradient algorithm can find the minimum value of the loss function.

C : The stochastic gradient algorithm can find the minimum value of the loss function.

D : The convergence process of the global gradient algorithm is time-consuming.

Answer: D

Question 2

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?

A : The batch gradient algorithm can solve the problem of local minimum value.

B : The global gradient algorithm can find the minimum value of the loss function.

C : The stochastic gradient algorithm can find the minimum value of the loss function.

D : The convergence process of the global gradient algorithm is time-consuming.

Answer: D

Question 3

In a neural network based on connectionism, each node can express a specific meaning.

A : UE

B : LSE

Answer: B

Question 4

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?

A : The batch gradient algorithm can solve the problem of local minimum value.

B : The global gradient algorithm can find the minimum value of the loss function.

C : The stochastic gradient algorithm can find the minimum value of the loss function.

D : The convergence process of the global gradient algorithm is time-consuming.

Answer: D

Question 5

Which of the following are common gradient descent methods?

A : Batch gradient descent (BGD)

B : Mini-batch gradient descent (MBGD)

C : Multi-dimensional gradient descent (MDGD)

D : Stochastic gradient descent (SGD)

Answer: A,B,D

Page: 1 / 86

Total 429 Questions | Updated On: Jan 07, 2024

Add To Cart