HCIP-AI-EI Developer V2.0 Real Dumps H13-321-ENU Dumps Questions | DumpsBase
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What are the capabilities to be HCIP-AI-EI Developer V2.0 certified?
Pass H13-321-ENU exam to be HCIP-AI-EI Developer V2.0 certified will be indicate that you:
1) have mastered the basic principles, architecture and programming of artificial intelligence technology in the field of image processing. Speech processing and natural language processing;
2) are able to develop AI models using python, TensorFlow and Huawei ModelArts;
3) competent for senior image processing engineers, speech recognition engineers, natural language processing engineers and other positions.
HCIP-AI-EI Developer V2.0 certification requires to gain HCIA-AI in advance and pass H13-321-ENU exam. The HCIP-AI-EI Developer V2.0 exam covers: Neural Network Basics, Image Processing Theory and Applications, Speech Processing Theory and Applications , Natural Language Processing Theory and Applications, Overview of Huawei's AI Development Strategy and Full-Stack, All-Scenario AI Portfolio, Overview of ModelArts, Image Processing Lab Guide, Speech Processing Lab Guide, Natural Language Processing Lab Guide, ModelArts Lab Guide.
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The status sequence of HMM can neither be obtained directly nor through observation sequence.
Image target detection algorithm needs to be completed?
A. Judgment of target category
B. Calculation of confidence
C. Calculation of target edge
D. Calculation of the target position
Which of the following steps in the MFC extraction process?
A. Add window
C. Fourier transform
D. Cepstrum analysis
Which of the following options is not a method in the development of natural language processing?
A. Methods based on deep learning
B. Statistical-based methods
C. Method based on recursion
D. Rule-based approach
In image processing tasks, what is the true label of the data set?
A. Great Trurh
B. Great Target
C. Ground Truth
D. Ground Target
Which network structure does the convolutional neural network include?
A. Output layer
B. Convolutional layer
C. Fully connected layer
D. Pooling layer
What is the difficulty of speech recognition?
A. Dialect recognition
B. Multiplayer scene recognition
C. High noise field identification
D. Recognition of far-field gram wind
In the N-gram model, N refers to ignoring the effect of the above words with a distance greater than N. The larger the N, the richer the sequence information contained in the model, and the amount of calculation increases.
A model in which several linear models are mixed together is called a linear mixed model.
There are a lot of small noises in a photo during storage.
Which operation is the best for noise reduction?
A. Laplace filter
B. Gaussian filtering
C. Median filtering
D. Mean filtering