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Huawei H13-321_V2.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Natural Language Processing Theory and Applications | 10% | - Text classification, NER, machine translation - RNN, LSTM, GRU, Transformer architecture - BERT, GPT and pre-trained models - Word representation and embedding |
| Speech Processing Lab Guide | 12% | - ASR and TTS service development - Huawei Cloud Speech Interaction Service - ModelArts speech application deployment |
| Huawei AI Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | - Full-stack and all-scenario AI technology layout - Huawei AI development strategy |
| Image Processing Theory and Applications | 26% | - Image processing fundamentals - Convolutional Neural Networks (CNN) - OCR and visual application development - Image classification, object detection, segmentation |
| Neural Network Basics | 4% | - Gradient descent and backpropagation - Basic concepts of neural networks - Activation functions and regularization - Multilayer Perceptron (MLP) |
| Image Processing Lab Guide | 12% | - Object detection and segmentation practice - Ascend-based deployment - ModelArts-based image classification |
| Speech Processing Theory and Applications | 10% | - Automatic Speech Recognition (ASR) - Text-to-Speech (TTS) technology - Acoustic and language modeling - Speech signal characteristics and processing |
| Natural Language Processing Lab Guide | 10% | - Text classification and NER implementation - ModelArts NLP model training and tuning - Application integration and deployment |
| Overview of ModelArts | 4% | - ModelArts platform positioning and architecture - Development environment and tool usage - Data processing, training, deployment capabilities |
Huawei HCIP-AI-EI Developer V2.0 Sample Questions:
Question 1
The Gaussian model uses the Gaussian density function to accurately quantify things and decomposes one thing into several models based on Bernoulli distribution.
A. True
B. False
Question 2
MoXing is a network model development API provided by Huawei Cloud ModelArts service. Using the mox.file module in MoXing , calling the API can directly access files in OBS. The operation commands correspond to the OS module in Python and the gfile module in TensorFlow. Among them, mox.file.remove (..., recursive=True) corresponds to shutil .()
Question 3
The gradient descent algorithm is used to update parameters and find the minimum point of the loss function. Its convergence point depends only on the cost function.
A. True
B. False
Question 4
Which of the following options are Huawei Ascend AI chips? (Multiple choice)
A. Shengteng 910
B. Shengteng 510
C. Shengteng 310
D. Shengteng 710
Question 5
Convolutional layers are indispensable in the hierarchical architecture of convolutional neural networks.
A. True
B. False
Solutions:
| Question 1 Answer: B | Question 2 Answer: Only visible for members | Question 3 Answer: B | Question 4 Answer: A,C | Question 5 Answer: A |
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