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NEW QUESTION 182
The author of Python deliberately designed a very restrictive syntax, so that bad programming habits (such as if the next line of the if statement is not indented to the right) cannot be compiled.
- A. False
- B. True
Answer: A
NEW QUESTION 183
Which of the following is not MindSpore common Operation?
- A. signal
- B. math
- C. array
- D. nn
Answer: A
NEW QUESTION 184
Which of the following functions does Python support?
- A. derived
- B. overloads
- C. inherits
- D. Multiple inheritance
Answer: A,C,D
NEW QUESTION 185
TensorFlow 2.0 The way to view tensor dimensions in is?
- A. ndim
- B. device
- C. dtype
- D. dimens
Answer: A
NEW QUESTION 186
K Folding cross-validation refers to dividing the test data set into K Sub-data sets.
- A. FALSE
- B. TRUE
Answer: A
NEW QUESTION 187
Bagging In integrated learning, the relationship between each base learner is?
- A. relationship
- B. Additive relationship
- C. Independent
- D. The latter model must be built on top of the previous model
Answer: A
NEW QUESTION 188
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 189
Which of the following does the convolutional neural network structure not include?
- A. Pooling layer
- B. Loop layer
- C. Fully connected layer
- D. Convolutional layer
Answer: B
NEW QUESTION 190
Linear algebra is a branch of algebra that deals mainly with linear problems. The linear relationship is that the relationship between the exponential objects is expressed in the form of times.
- A. 0
- B. 1
- C. 2
- D. 3
Answer: C
NEW QUESTION 191
What are the commonly used gradient descent optimization functions? (Multiple Choice)
- A. Random gradient descent
- B. Adadelta
- C. RMSProp
- D. momentum
- E. Adagrad
Answer: A,B,C,D,E
NEW QUESTION 192
The correlation coefficient. also known as the linear correlation coefficient, is used to measure the linear relationship between two variables, which is a real number greater than zero
- A. False
- B. True
Answer: A
NEW QUESTION 193
When was the first time that "artificial intelligence" was proposed?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION 194
Convolutional neural networks are more suitable for image recognition problems than cyclic neural networks.
- A. True
- B. False
Answer: A
NEW QUESTION 195
The matrix generated by exchanging rows and columns of matrix A is called transpose of A.
What are the correct properties of matrix transpose?
- A. (AA) T - AA T
- B. (AB) T = A T B T
- C. (A+B) T = A T + B T
Answer: A,B,C
NEW QUESTION 196
Generative confrontation networks are currently widely useD. The following scenarios can use this network?
- A. Information retrieval
- B. Data enhancement
- C. Image generation
- D. Semantic segmentation
Answer: A,B,C,D
NEW QUESTION 197
Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?
- A. bprop (Optional), The reverse of the custom module
- B. __init__,Initialization parameters(Parameter), Submodule(Ce11),operator(Primitive)Equal group Software for initial verification
- C. There's some left optim Commonly used optimizers,wrap Pre-defined commonly used network packaging functions Ce11
- D. Construct, Define the execution process. In graph mode, it will be compiled into graphs for execution, and there is no syntax restriction
Answer: A,B,C
NEW QUESTION 198
In May 1997, the famous "Human Machine Battle" final computer defeated the world chess king Kasparov with a total score of 3.5 to 2.5. This computer is called?
- A. dark blue
- B. dark green
- C. blue sky
- D. deep thinking
Answer: A
NEW QUESTION 199
When training the network, we often encounter many problems. For the problem of gradient disappearance, we can alleviate the problem by choosing which of the following functions to use?
- A. Sigmoid function
- B. Relu function
- C. Softsign function
- D. tanh function
Answer: B
NEW QUESTION 200
What is wrong with the following gradient descent statement?
- A. Stochastic gradient descent is one of the optimization algorithms commonly used in deep learning algorithms
- B. Stochastic gradient descent is a common type of gradient descent
- C. The gradient descent algorithm is fast and reliable
- D. Gradient descent includes random gradient descent and batch gradient descent
Answer: C
NEW QUESTION 201
What conditions must be met for m rows and n columns of matrix A and p rows and q columns of matrix B to be multiplied?
- A. m=p, n=q
- B. p=q
- C. m=n
- D. n=p
Answer: D
NEW QUESTION 202
What are the regularization in deep learning?
- A. L1 norm L2 norm
- B. data set enhancement
- C. Dropout
- D. integration method
Answer: A,C,D
NEW QUESTION 203
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