Get H13-311_V3.0 Braindumps & H13-311_V3.0 Real Exam Questions [Q57-Q73] : Latest Exam Prep : http://certify.vceprep.com

NEW QUESTION 57
Which of the following is an image label service URI?

/v1.0/image/recognition

/v1.0/image/celebrity-recognition

/v1.0/image/recapture-detect

/v1.0/image/tagging

NEW QUESTION 58
On-Device Execution, that is, the entire image is offloaded and executed, and the computing power of the Yiteng chip can be fully utilized, which can greatly reduce the interaction overhead, thereby increasing the accelerator occupancy rate. On-Device The following description is wrong?

MindSpore Realize decentralized autonomy through adaptive graph optimization driven by gradient data A11 Reduce, Gradient aggregation is in step, and calculation and communication are fully streamlined

Challenges of model execution under super chip computing power: Memory wall problems, high interaction overhead, and difficulty in data supply. Partly in Host Executed, partly in Device Execution, interaction overhead is even much greater than execution overhead, resulting in low accelerator occupancy

MindSpore Through the chip-oriented depth map optimization technology, the synchronization wait is less, and the “data computing communication” is maximized. The parallelism of “trust”, compared with training performance Host Side view scheduling method is flat

The challenge of distributed gradient aggregation under super chip computing power:ReslNet50 Single iteration 20ms Time will be generated The synchronization overhead of heart control and the communication overhead of frequent synchronization. Traditional methods require 3 Synchronization completed A11 Reduce, Data-driven method autonomy A11 Reduce, No control overhead

NEW QUESTION 59
Regarding the face search service, which of the following statements are correct?

When there is no face set, you need to create a face set first, then add face data, and then search

The size of a face set cannot exceed 10000 Pictures

There is a dedicated interface to delete the specified face set

There is a dedicated interface to delete the face data in a certain face set

NEW QUESTION 60
The autoencoder is an unsupervised learning algorithm.

True

False

NEW QUESTION 61
According to the development process of the robot, it is usually divided into three generations, respectively are: (Multiple Choice)

Teaching Reproduction Robot

Robot with sensation

Robots that will think

Intelligent robot

NEW QUESTION 62
PEP 8 stipulates how many spaces are needed to indent the first line of Python?

NEW QUESTION 63
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?

Minsky

Zade

Turing

Von Neumann

NEW QUESTION 64
Pytorch Which company launched it first?

Baidu

Google

Facebook

Huawei

NEW QUESTION 65
Which of the following are the elements of artificial intelligence? (Multiple choice)

Algorithm

Computing power

Data

Scene

NEW QUESTION 66
Self-encoder is an unsupervised learning algorithm

True

False

NEW QUESTION 67
In TensorFlow, data is represented in the form of tensors and calculation charts.

True

False

NEW QUESTION 68
What is in the category of artificial intelligence? (Multiple choice)

Action

Perception

Cognition

None of the above

NEW QUESTION 69
The model composed of machine learning algorithms cannot represent the true data distribution function on a theoretical level. Just approach it.

TRUE

FALSE

NEW QUESTION 70
The following statement about recurrent neural networks is wrong?

Recurrent neural network can be unfolded according to the time axis

LSTM Unable to solve the problem of vanishing gradient

LSTM It is also a recurrent neural network

Recurrent neural network can be abbreviated as RNN

NEW QUESTION 71
Generating a confrontation network is like a game system. The generator generates fake samples, and the discriminator judges whether it is true or false. Our ideal result is?

The generator produces roughly the same samples

The discriminator efficiently distinguishes the true and false samples generated by the generator

The discriminator cannot distinguish the true and false samples generated by the generator

The generator produces different samples

NEW QUESTION 72
Artificial intelligence is the research and development of theories, methods and application systems used to simulate, extend and expand human intelligence Of a new technological science.

TRUE

FALSE

NEW QUESTION 73
TensorFlow is the second-generation artificial intelligence learning system developed by Google based on .

DistBelief

PaleyFunction

ConvexOne

Infinity