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H13-311_V3.0 Questions and Answers

Question # 6

There are many types of neural networks in deep learning. The following neural network information is one-way propagation:

A.

LSTM

B.

Convolutional Neural Network

C.

Recurrent neural network

D.

GRU

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Question # 7

Which method is not supported in TensorFlow to define variables?

A.

Random number

B.

Constant

C.

Calculated from the initial values of other variables

D.

null

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Question # 8

Which of the following features does Python support? (Multiple choice)

A.

Inheritance

B.

Heavy load

C.

Derived

D.

Multiple inheritance

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Question # 9

HUAWEI HiAI Engine Can easily combine multiple AI Ability and App integrated.

A.

TRUE

B.

FALSE

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Question # 10

The following about the standard RNN Model, the correct statement is?

A.

There is no one-to-one model structure

B.

Do not consider the time direction when backpropagating

C.

There is no many-to-many model structure

D.

There will be a problem of attenuation of long-term transmission and memory information

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Question # 11

TensorFlow It is one of the most popular deep learning frameworks.

A.

TRUE

B.

FALSE

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Question # 12

Which of the following is not included in the recurrent neural network usage scenario?

A.

Machine translation

B.

Speech recognition

C.

Image style migration

D.

Text generation

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Question # 13

Regarding backpropagation, the following statement is wrong?

A.

Backpropagation can only be used in feedforward neural networks

B.

Backpropagation can be combined with gradient descent algorithm to update network weights

C.

Backpropagation passes through the activation function

D.

Back propagation refers to the back propagation of errors through the network

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Question # 14

Which of the following statements about universal form recognition services are correct?

A.

rows Represents the line information occupied by the text block, the number is from 0 Start, list form

B.

colums Represents the column information occupied by the text block, the number is from 0 Start, list form

C.

The incoming image data needs to go through base64 coding

D.

words Representative text block recognition result

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Question # 15

The trace operation returns the sum of the diagonal elements of the matrix. Therefore, the trace of matrix A and its transposed matrix are equal

A.

True

B.

False

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Question # 16

During application development, which of the following operations is not a typical network definition?

A.

Network definition

B.

Network execution

C.

Knowledge distillation

D.

Weight initialization

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Question # 17

What operating systems does Python support? (Multiple Choice)

A.

DOS

B.

Linux

C.

Mac OSX

D.

Windows

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Question # 18

What is the English abbreviation for AI?

A.

Automatic Intelligence

B.

Artifical Intelligence

C.

Automatic Information

D.

Artifical Information

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Question # 19

From the perspective of technical architecture AI The classification of chips includes?

A.

FPGA

B.

CPU

C.

GPU

D.

ASIC

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Question # 20

In the gradient descent algorithm, which of the following algorithms is the most confusing algorithm for the trajectory on the loss function surface?

A.

SGD

B.

BGD

C.

MGD

D.

MBGD

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Question # 21

Which of the following services belong to Huawei EI Service family?

A.

Dialogue robot

B.

EI Basic services

C.

Natural language processing

D.

EI Big data service

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Question # 22

When we describe the house, we usually use the attributes such as residential area, house type, decoration type, etC. If we use plain With Bayes as a model, we assume that there is no relationship between attributes.

A.

TRUE

B.

FALSE

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Question # 23

TensorF1ow Which of the following companies first developed?

A.

Oracle

B.

Facebook

C.

Nvidia

D.

Google

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Question # 24

The following statement about recurrent neural networks is wrong?

A.

Recurrent neural network can be unfolded according to the time axis

B.

LSTM Unable to solve the problem of vanishing gradient

C.

LSTM It is also a recurrent neural network

D.

Recurrent neural network can be abbreviated as RNN

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Question # 25

Deep learning neural network training requires a lot of matrix calculations. Generally, we need to use hardware to enable the computer to have parallel computing capabilities. The following hardware devices can provide

parallel computing capabilities.:

A.

Motherboard

B.

RAM

C.

GPU

D.

CPU

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Question # 26

Which of the following descriptions of the depth feedforward network is correct?

A.

Deep feedforward network 1s a kind of neural network.

B.

The deep feedforward network has only one hidden layer.

C.

The unit on the hidden layer of the deep feedforward network will have countless.

D.

Deep feedforward network 1s used to deal with linear problems.

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Question # 27

Which of the following is not an artificial intelligence school?

A.

Symbolism

B.

StatJst1caltsm

C.

Behaviorism

D.

Connectionism

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Question # 28

Feature is the dimension that describes the characteristics of the sample. Regarding its interpretability in traditional machine learning and deep learning, the following statement is correct:

A.

Features are interpretable in traditional machine learning, but weak in deep learning

B.

Features are weak in traditional machine learning, but strong in deep learning

C.

Features are weak in interpretability in traditional machine learning and deep learning

D.

Features are interpretable in traditional machine learning and deep learning

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Question # 29

The meaning of artificial intelligence was first proposed by a scientist in 1950, and at the same time a test model of machine intelligence was proposed Who is this scientist?

A.

Minsky

B.

Zade

C.

Turing

D.

Von Neumann

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Question # 30

In a neural network, knowing the weight and deviations of each neuron is the most important step. If you know the exact weights and deviations of neurons in some way, you can approximate any function

What is the best way to achieve this?

A.

Random assignment, pray that they are correct

B.

Search for a combmat1on of weight and deviation until the best value 1s obtained

C.

Assign an initial value to iteratively update weight by checking the difference between the best value and the initial

D.

The above is not correct

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Question # 31

Which of the following options is not the Tensorflow build process?

A.

Building a calculation chart

B.

Input tensor

C.

Generate a session

D.

Update weights I Right Answers)

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Question # 32

Regular term can also be added to logistic regression to avoid overfitting.

A.

TRUE

B.

FALSE

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Question # 33

Which of the following options is not the- session mode used by Tensorflow?

A.

Explicitly call the session to generate function

B.

Explicitly call the session to close function

C.

Through the Python context manager

D.

Multiple POST queries

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Question # 34

Generative confrontation networks are currently widely useD. The following scenarios can use this network?

A.

Data enhancement

B.

Semantic segmentation

C.

Information retrieval

D.

Image generation

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Question # 35

What are the results returned by the if conditional statements in the Python language? (Multiple choice)

A.

True

B.

0

C.

FALSE

D.

null

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Question # 36

Which is not a deep learning algorithm?

A.

Setr-encoder

B.

Convolutional neural networks

C.

Recurrent neural networks

D.

Support vector machine

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Question # 37

Which of the following is the computing model of TensorFlow?

A.

Calculation chart

B.

Tensor

C.

Conversation

D.

Variable

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Question # 38

Artificial intelligence is currently suitable for scenarios with I' known environment, clear objectives, and predictable action ±. Deep learning in the fields of image recognition, speech recognition, translation, etc , artificial intelligence basically has human recognition ability. even surpassing human beings Based on these capabilities. it has been applied to many scenes such as medical care and public safety However, there is still a lack of reasoning and cognition

A.

True

B.

False

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Question # 39

Atlas 800 AI There are multiple models of servers, of which the one based on the Kunpeng processor platform is?

A.

Atlas 800 model: 9000

B.

Atlas 800 model: 3000

C.

Atlas 800 model: 3010

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Question # 40

Corvolutional neural networks are more suitable for dealing with speech recognition problems

A.

True

B.

False

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Question # 41

What are the scenarios or industries that are suitable for using Python? (Multiple Choice)

A.

Artlfic1al intelligence

B.

web development

C.

Game development

D Hardware development

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Question # 42

Which of the following conditions do the randomized trials need to meet? (Multiple Choice)

A.

It can be repeated under the same conditions.

B.

There may be more than 011e possible outcome for each trial. and all possible outcomes of the trial can be clarified m advance

C.

All results of the lest cannot be clarified in advance

D.

It Is not possible to determine which result will appear before conducting a test.

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Question # 43

What people say about neural networks is wrong?

A.

As the number of hidden layers of the neural network increases, the classification ability of the model gradually weakens

B.

The limitation of a single-layer perceptron is that it cannot solve the XOR problem

C.

The feedforward neural network can be represented by a directed acyclic graph

D.

There is no connection between neurons in the same layer of the feedforward neural network

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Question # 44

In the process of training the neural network, we use the gradient descent method to continuously update which value, which makes the loss Function minimization?A. Number of samples

B. Eigenvalues

C. Hyperparameter

D. parameter

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Question # 45

TensorFlow The data type used is?

A.

Scalar

B.

Vector

C.

Tensor

D.

Matrix

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Question # 46

What is wrong description of the Python module?

A.

The Python module is a Python file that ends with .py and contains Python object definitions and Python statements.

B.

The Python module allows you to logically organize your Python code snippets.

C.

Python modules can define functions classes and variables but the module does not contain executable code

D.

Assigning relevant code to a module can make your code better and easier to understand.

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Question # 47

Which of the following are the activation functions of deep learning algorithms?

A.

Sigmoid

B.

ReLU

C.

Tanh

D.

Sin

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Question # 48

Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).

A.

DistBelief

B.

PaleyFunction

C.

ConvexOne

D.

Infinity

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Question # 49

HUAWEI HiAI Which module does the face detection in the platform belong to?

A.

HiAI Engine

B.

HiAI Framework

C.

HiAI Foundation

D.

HiAI Service

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Question # 50

Which of the following are included in the application scenarios ofTensorflow? (Multiple choice}

A.

Speech recognition

B.

Face recognition

C.

Image style changes

D.

Autopilot

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Question # 51

Which of the following is true about unsupervised learning?

A.

Unsupervised algorithm only processes “features” and does not process ·tags·

B.

Dimensionality reduction algorithm is not unsupervised learning

C.

K-means algorithm and SVM algorithm belong lo unsupervised learning

D.

None of the above

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Question # 52

Which of the following can optimization problem be classified according to the constraints? (Multiple choice)

A.

equality constraints

B.

Inequality constraints

C.

Unconstrained conditions

D.

Semi-constraint conditions

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Question # 53

K Folding cross-validation refers to dividing the test data set into K Sub-data sets.

A.

TRUE

B.

FALSE

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Question # 54

In the classic convolutional neural network model,Softmax What hidden layer does the function follow?

A.

Convolutional layer

B.

Pooling layer

C.

Fully connected layer

D.

All of the above

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Question # 55

in TensorFlow2.0 in tf.contrib The method can continue to be used.

A.

TRUE

B.

FALSE

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