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What are the core concepts in TensorFlow? (Multiple Choice)

A.

Gridding

B.

Calculation Chart

C.

Dot Product

D.

Tensor

Only matrix A and matrix B have the same number of rows and columns. A and B can be added.

A.

True

B.

False

Use with Atlas300 (3000) What conditions need to be checked when the accelerator card server compiles and runs the program?

A.

carry out Atlas Driver Installation

B.

It has been installed CUDA Software package

C.

It has been installed Cmake Compilation tool

D.

Complete environment configuration

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

A.

TRUE

B.

FALSE

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

A.

True

B.

False

In order for a machine to be intelligent, it must be knowledgeable. Therefore, there is a research field in artificial intelligence. which mainly studies how computers automatically acquire knowledge

and skills to achieve self-impr011emenL What is the branch of this research called?

A.

Expert system

B.

Machine learning

C.

Neural Network

D.

Natural language processing

Python script execution mode includes interactive mode and script mode

A.

True

B.

False

Global gradient descent algorithm, stochastic gradient descent algorithm and batch gradient descent algorithm are all gradient descent algorithms. The following is wrong about its advantages and disadvantages.

A.

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

B.

Batch gradient algorithm can solve the local minimum problem

C.

Stochastic gradient algorithm can find the minimum value of the loss function

D.

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

Linear algebra is a branch of algebra that deals with linear problems.

The linear relationship is that the relationship between exponential objects is expressed in ( ) times form?

A.

1

B.

2

C.

3

D.

4

In a convolutional neural network, different layers have different functions. Which of the following layers can play the role of dimensionality reduction?

A.

Input layer

B.

Fully connected layer

C.

Convolutional layer

D.

Pooling layer