H13-311_V3.0 Exam Preparation Material with New H13-311_V3.0 Dumps Questions [Q87-Q109] : Best Free Exam Guide : http://free.exams4sures.com

NEW QUESTION 87
What is not an automatic hyperparameter optimization algorithm?

grid search

stochastic gradient descent

random search

model-based hyperparameter optimization

NEW QUESTION 88
Which command can be checked Atlas 300 (3000) Whether the accelerator card is in place?

1spci | grep’npu’

1spci | grep’d100′

1spci grep’atlas’

atlas info

NEW QUESTION 89
Among the following options, what is the philosophy of Python language design?

Beautiful

Expensive

Explicit

Simple

NEW QUESTION 90
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?

Forward propagation algorithm

Pooling calculation

Convolution calculation

Backpropagation algorithm

NEW QUESTION 91
tf.keras.datasets Can view keras The built-in data set.

TRUE

FALSE

NEW QUESTION 92
Which of the following about the gradient descent is incorrect?

Random gradient descent is a commonly used one in gradient descent.

Gradient descent includes random gradient descent and batch gradient descent.

The gradient descent algorithm 1s fast and reliable [Right Answers}

Random gradient descent is one of the commonly used optimization algorithms in deep learning algorithms.

NEW QUESTION 93
What are the quotation marks that can be used in the Python language?

single quote

double quote

triple quote

quad quote

NEW QUESTION 94
What is the correct description about Python tuples?

the difference between lists and tuples is that the elements of tuples cannot be modified

square brackets are used for lists, and parentheses are used for tuples

the creation of the tuple is very simple, just add the element in the brackets, and use commas to separate

when the tuple contains only one element, you need to add a comma after the element

NEW QUESTION 95
Regarding backpropagation, the following statement is wrong?

Backpropagation can only be used in feedforward neural networks

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

Backpropagation passes through the activation function

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

NEW QUESTION 96
On Huawei Cloud EI Which of the following can be AI Technology is integrated into the application scenarios of all walks of life AI The advantages of technology to improve efficiency and improve experience.

EI Agent

OBS Object storage service

Cloud database

EI Big data service

NEW QUESTION 97
Vector group a1=(1,1,1),a2=(0,2,5),a3=(1,3,6) Which of the following options is correct?

linearly related

linearly independent

a1+a2+a3=0

2a1+a2+a3=0

NEW QUESTION 98
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.:

Motherboard

RAM

GPU

CPU

NEW QUESTION 99
Information theory is a branch of applied mathematics, the main research is to quantify how much information a signal contains. Who first proposed the information entropy?

Minsky

Turing

Simon

Shannon

NEW QUESTION 100
An e-commerce company has always had problems with official website stalls, poor utilization of network resources, and difficulty in operation and maintenance. Then which of the following can the company use EI service?

Park Agent

Traffic Agent

Network agent

Industrial Agent

NEW QUESTION 101
View Atlas300 (3000) Which command should be used if the accelerator card driver is installed successfully?

npu-sim info

npu info

atlas-driver info

atlas info

NEW QUESTION 102
Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?

The entire training set will be trained 5 Times

The entire test set will be tested 5 Times

The entire training set will be divided into 6 Share

The entire training set will be divided into 5 Share

NEW QUESTION 103
In deep learning, if the neural network has a large number of layers, the problem of gradient disappearance is more likely to occur. Strictly speaking, in which of the following links does the sample disappearance problem occur?

Backpropagation update parameters

Forward the dream and update

Backpropagation calculation result

Forward calculation results

NEW QUESTION 104
Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)

Intelligent Logistics

Intelligent Water

Intelligent transportation

Intelligent Finance

Intelligent manufacturing

NEW QUESTION 105
Training error will reduce the accuracy of the model and produce under-fitting. How to improve the model fit? (Multiple choice)

Increase the amount of data

Feature Engineering

Reduce regularization parameters

Add features

NEW QUESTION 106
The components of the Python identifier include: numbers, letters, and underscores.

True

False

NEW QUESTION 107
Reducing the gap between the training error and the test error will result in over-fitting How to prevent over-fitting? (Multiple Choice)

Cross validation

Integration method

Increase regularization

Feature Engineering

NEW QUESTION 108
Linear regression in 3 The fitted surface in the dimension above dimension is?

Curved surface

flat

Hyperplane

Hypersurface

NEW QUESTION 109
As shown in the figure below, what is the value of the determinant A?

-24

H13-311_V3.0 Exam Preparation Material with New H13-311_V3.0 Dumps Questions [Q87-Q109]

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