H13-311_V3.5 Exam Questions
368 real H13-311_V3.5 exam questions with expert-verified answers and explanations. Page 5 of 8.
- Question #201Huawei AI Development Platforms and Solutions
View Atlas300 (3000) Which command should be used if the accelerator card driver is installed successfully?
Atlas300 driver verificationNPU accelerator setupnpu-sim commandHardware driver installation - Question #202Machine Learning Basics
K Folding cross-validation refers to dividing the test data set into K Sub-data sets.
K-Fold Cross-ValidationModel EvaluationData SplittingValidation Techniques - Question #203Deep Learning Basics
It is known that the total parameter of a certain layer of the fully connected neural network is 330, The number of neurons in the previous layer and this layer May be?
Fully Connected LayerParameter CalculationNeural Network ArchitectureWeights - Question #204Machine Learning Basics
Add to the loss function of linear regression L1 Regular term, this time the regression is called Lasso return.
Linear RegressionL1 RegularizationLasso RegressionRegularization - Question #205
Which of the following description about the relationship between the Poisson distribution and the binomial distribution is correct?
- Question #206Deep Learning Basics
Ce11 Provides basic modules for defining and performing calculations, Ce11 The object can be executed directly, the following statement is wrong?
Deep Learning FrameworkCell ModuleComputation GraphBackpropagation - Question #207AI Overview
Where is the main foothold of symbolism?
symbolic reasoningmachine reasoningAI paradigmsknowledge representation - Question #208AI Overview
Which of the following schools does the neural network study belong to?
neural networksconnectionismAI schools of thoughtAI history - Question #209Huawei AI Development Platforms and Solutions
What is wrong about the image content review service?
image content moderationAPI parametersconfidence scoringHuawei AI services - Question #210Machine Learning Basics
Which of the following can optimization problem be classified according to the constraints? (Multiple choice)
optimization problemsconstraint classificationequality constraintsunconstrained optimization - Question #211Deep Learning Basics
Which of the following can improve the computational efficiency of the neural network model? (Multjple choice)
Hardware AccelerationGPU ComputingDistributed ComputingNeural Network Optimization - Question #212
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 net...
- Question #213Machine Learning Basics
L1 with L2 Regularization is a method commonly used in traditional machine learning to reduce generalization errors. The following is about the two. The right way is:
L1 RegularizationL2 RegularizationFeature SelectionRegularization - Question #214
Which description is wrong about the lambda function of the Python language?
- Question #215Huawei AI Development Platforms and Solutions
How many spaces does PEP 8 stipulate that Python's first fine indentation needs to indent?
PEP 8Python indentationCode formattingPython conventions - Question #216
Which of the following environments does not support to install the T11nsorFlow?
- Question #217Huawei AI Development Platforms and Solutions
Ascend among the following options 310 And Shengteng 910 The attributes are the same?
Huawei Ascend ProcessorsAI Hardware AcceleratorsProcessor ArchitectureChip Specifications - Question #218Huawei AI Development Platforms and Solutions
The time interval in the Python language is a Hoating-point fraction in seconds
Python time modulefloating-point secondstime intervalsPython basics - Question #219Machine Learning Basics
What are the common clustering algorithms?
clustering algorithmsK-meanshierarchical clusteringunsupervised learning - Question #220
Reducing the gap between the training error and the test error will result in over-fitting How to prevent over-fitting? (Multiple Choice)
- Question #221
When dealing with actual problems, when should machine learning be used in the following situations?
- Question #222Deep Learning Basics
In neural networks, which of the following methods are used to update the parameters when training the network to minimize the loss function?
BackpropagationParameter UpdatesGradient DescentNeural Network Training - Question #223Huawei AI Development Platforms and Solutions
What are the results returned by the if conditional statements in the Python language? (Multiple choice)
Python fundamentalsconditional statementstruthy/falsy valuesboolean evaluation - Question #224Deep Learning Basics
Which of the following are the characteristics of TensorFlow? (Multiple choice)
TensorFlowDeep Learning FrameworksOpen Source ToolsFramework Characteristics - Question #225Deep Learning Basics
TensorFlow 2.0 The way to view tensor dimensions in is?
TensorFlow 2.0Tensor attributesTensor dimensionsndim - Question #226Huawei AI Development Platforms and Solutions
When the universal text recognition service is successfully called, the returned text recognition result is stored in which of the following fields?
text recognitionOCR APIresponse fieldsHuawei Cloud - Question #227Machine Learning Basics
Grid search is a method of parameter adjustment.
grid searchhyperparameter tuningparameter optimizationmodel training - Question #228Machine Learning Basics
As shown in the figure below, what is the value of the determinant A?
determinant calculationlinear algebramatrix operationslinear independence - Question #229Machine Learning Basics
During the two classification process, we can set any category as a positive example.
Binary classificationPositive class selectionClassification labelsTwo-class problem - Question #230AI Overview
CPU Mainly through increasing instructions, increasing the number of cores, etc. to improve AI performance.
CPU optimizationmulti-core processinginstruction setsAI hardware acceleration - Question #231Deep Learning Basics
PyTorch All existing versions support Python2 with Python3?
PyTorchPython version supportFramework compatibilityDeep learning frameworks - Question #232Huawei AI Development Platforms and Solutions
Atlas accelerate AI What processor is used for inference?
Atlas AIAscend 310InferenceHardware Accelerator - Question #233Typical Applications of AI
Label when the image remake detection service is called successfully sugestion What's the situation?
image detectionservice invocationclassification statesdetection confidence - Question #234Huawei AI Development Platforms and Solutions
HiAI What are the advantages of mobile computing platforms?
mobile platformsHiAIdeveloper toolsAPIs - Question #235Deep Learning Basics
The following applications that are not part of the adversarial generation network are?
Generative Adversarial NetworksDeep LearningImage GenerationDiscriminative vs Generative Tasks - Question #236Machine Learning Basics
What is the most important difference between batch gradient descent, mini-batch gradient descent, and stochastic gradient descent?
Gradient DescentOptimization AlgorithmsBatch SizeTraining Methods - Question #237AI Overview
What are the advantages of Python? (Multiple choice)
Python basicsProgramming fundamentalsLanguage featuresPython advantages - Question #238Deep Learning Basics
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.
GPU AccelerationTensorFlowMatrix OperationsParallel Computing - Question #239Typical Applications of AI
Generative confrontation networks are currently widely used. The following scenarios can use this network?
Generative Adversarial NetworksImage synthesisData augmentationDeep learning - Question #240Machine Learning Basics
Among the machine learning algorithms, the following is not an integrated learning strategy?
Ensemble LearningBoostingBaggingStacking - Question #241Deep Learning Basics
TensorF1ow2.0 Can be used to check if it is tensor The methods are?
TensorFlow 2.0Type CheckingTensor APIData Types - Question #242Huawei AI Development Platforms and Solutions
What are the steps that are not part of the operation of a Python file object?
Python file I/Ofile object methodsPython basicsfile operations - Question #243Deep Learning Basics
Deep learning is different from machine learning and there are no unsupervised algorithms
Deep LearningMachine LearningUnsupervised LearningML vs DL Relationship - Question #244Deep Learning Basics
What is the incorrect relationship between neural networks and deep learning?
deep learningneural networksnetwork depthshallow vs deep networks - Question #245
Regarding the face search service, which of the following statements are correct?
- Question #246
Deep learning is a branch of machine learning
- Question #247Huawei AI Development Platforms and Solutions
The main computing resources included in the Da Vinci architecture computing unit are?
Da Vinci architectureAI acceleratorComputing unitsHardware design - Question #248
Which of the following functions can numerically stabilize overflow and underflow?
- Question #249
The number of hidden layers of the deep learning neural network has a certain impact on the performance of the network. The following statement about its impact is correct.:
- Question #250AI Overview
" print" in Python 3 must be used with "()"
Python 3 SyntaxPrint FunctionLanguage FundamentalsPython Basics