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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
Which of the following are the elements of artificial intelligence? (Multiple choice)
Facing industry research and full scenarios AI The huge gap between applications, MindSpore Bridging the application gap to help inclusiveness AI Of technological innovation does not include which of the following?
The activation function plays an important role in the neural network model learning and understanding of very complex problems. The following statement about the activation function is correct.
About the image content review service returned when the call is successful suggestion Field, the correct statement is?
According to Huawei Cloud EI Intelligent platform, which of the following solutions can be provided?
In the process of deep learning model training, what are the common optimizers?
In a neural network based on connectionism, each node can express a specific meaning.
The loss function of logistic regression is the cross-entropy loss function.
The constituent elements of the Python identifier include: numbers, letters, and underscores.
HUAWEI HiAI Which module does the face detection in the platform belong to?
Which of the following description about Python regular expression is not correct?
The training error will continue to decrease as the model complexity increases.
Add to the loss function of linear regression L1 Regular term, this time the regression is called Lasso return.
In what year did Huawei officially provide services in the form of cloud services, and combined with more partners to provide richer artificial intelligence practices?
There are many commercial applications for machine learning services.
What are the main business scenarios covered? (Multiple Choice)
The continue statement in the Python language is used to jump out of this loop and then continue to execute the next round of statements.
The image data of the passport recognition service is not needed base64 Coded.
Corvolutional neural networks are more suitable for dealing with speech recognition problems
Tensorflow is the second generation of artificial intelligence learning system developed by Google based on ( ).
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?
During the two classification process, we can set any category as a positive example.
The time interval in the Python language is a Hoating-point fraction in seconds
Artificial intelligence is a new technical science that studies and develops theories, methods and application systems for simulating, extending and extending human intelligence. It is one of the
core research areas of machine learning.
Ascend among the following options 310 And Shengteng 910 The attributes are the same?
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.
Jobs that are repetitive and require weak social skills are the easiest to be AI Replaced work.
Which of the following steps in deep learning are automatically completed by the model?
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.
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.:
Deflated AI The logical architecture of the processor does not include which of the following options?
Which of the following neural network structures will share weights? (Multiple choice)
Which of the following descriptions about the Recurrent Neural Network (RNN) is correct?
Recurrent neural networks can capture dynamic information in serialized data.
Which of the following descriptions of the depth feedforward network is correct?
Which of the following can optimization problem be classified according to the constraints? (Multiple choice)
Which of the following options belong to Tensorflow concept? (Multiple Choice)
Which of the following products is related to artificial intelligence? (Multiple Choice)
TensorFlow 2.0 stand by GPU The acceleration is mainly manifested in the parallel operation of the addition, subtraction, multiplication and division of the matrix accelerate.A. TRUE
B. FALSE
Recurrent neural network is different from convolutional neural network, it is better at solving the following problems?
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.
Which of the following are the characteristics of the Python language? {Multiple choice)
Which of the following is not part of the deep learning development framework?
ModelArts Service and (). The combination of services can easily deploy the model to "end"?
HiAI Mobile computing platform provides rich upper-level functional services API, Can run efficiently on mobile devices.
Feedforward neural network is a simple neural network, each neuron is arranged hierarchically, it is currently one of the most widely used and fastest growing artificial neural networks. The following statement about
feedforward neural networks is correct:
What are the scenarios or industries that are suitable for using Python? (Multiple Choice)
The naive Bayes algorithm does not require independent and identical distribution among sample features.
twenty two.Among machine learning algorithms, which of the following is not unsupervised learning?
Which of the following does not belong to automatic hyperparameter optimization algorithm?
Deep learning algorithms can be divided into supervised learning and unsupervised learning.
The following applications that are not part of the adversarial generation network are?
Which of the following options is not the- session mode used by Tensorflow?
Which of the following are the activation functions of deep learning algorithms?
Python authors deliberately design very restrictive grammars that make bad programming habits (such as the next line of if statement not indented to the right) cannot be compiled
TensorFlow2.0 of keras.metrics The methods that are not included in the built-in indicators are?
Which of the following description of the number of rows and columns of the matrix is correct?
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:
K Folding cross-validation refers to dividing the test data set into K Sub-data sets.
The Python language can use the "#" at the beginning of a single line of code for code comments .
Which of the following are the characteristics of TensorFlow? (Multiple choice)
Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?
According to the definition of information entropy what is the bit entropy of throwing a uniform coin?
The matrix produced by the exchange of matrix A rows and columns is called the transpose of A . What are the correct properties of matrix transposition? (Multiple Choice)
Which of the following are solutions for the Huawei Cloud El industry scenario? (Multiple Choice)
The following are the description of the distribution function. distribution law. and density function of random variables.
which is incorrect?
Code model.fit(mnist.train.inmage,mnist.train.labels.epochs=5)in of epochs Parameter representative?
Regular term can also be added to logistic regression to avoid overfitting.
Not supported in the following options TensorFLow2.0 The attributes for dimensional transformation are.
The following about the general form identification service returned type The field statement is correct?
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?
Which of the following is not a way for the TensorFlow program to read data?
TESTED 12 Sep 2025