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Huawei H13-321_V2.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deep Learning Fundamentals | 15% | - Training and Fine-tuning - CNN and RNN Architectures - Neural Network Basics - Optimization Algorithms |
| Topic 2: EI Model Development Fundamentals | 15% | - EI Service and Architecture - HiLens Framework and Skills - Development Environment Setup - Model Development Process |
| Topic 3: HiLens Platform Development | 20% | - Edge Deployment Strategy - Multi-modal Data Processing - Real-time Inference Optimization - Skill Development Framework |
| Topic 4: ModelArts Pro Development | 20% | - Hyperparameter Optimization - Inference Service Configuration - Model Deployment and Management - AutoML and Automatic Model Training |
| Topic 5: Natural Language Processing Application | 15% | - Text Classification Models - Text Preprocessing and Embedding - Named Entity Recognition - Language Model Fine-tuning |
| Topic 6: Image Recognition Application Development | 15% | - Image Classification Models - Image Segmentation - Object Detection Implementation - Transfer Learning with Pre-trained Models |
Huawei HCIP-AI-EI Developer V2.5 Sample Questions:
1. Which of the following is not an acoustic feature of speech?
A) Frequency
B) Amplitude
C) Semantics
D) Duration
2. In the field of deep learning, which of the following activation functions has a derivative not greater than 0.5?
A) Sigmoid
B) ReLU
C) Tanh
D) SeLU
3. Among image preprocessing techniques, gamma correction is a common non-linear brightness adjustment method. Which of the following statements are true about the application and features of gamma correction?
A) When # > 1, the input low grayscale range is compressed, and the high grayscale range is stretched, enhancing the bright areas while compressing the dark areas.
B) Gamma correction is an enhancement technique based on exponential transformation mapping. It is used for non-linear contrast stretching.
C) When # < 1, the input high grayscale range is compressed, and the low grayscale range is stretched, enhancing the dark areas while compressing the bright areas.
D) Gamma correction applies only to grayscale images and does not apply to color images.
4. Which of the following is a learning algorithm used for Markov chains?
A) Viterbi algorithm
B) Exhaustive search
C) Baum-Welch algorithm
D) Forward-backward algorithm
5. Seq2Seq is a model that translates one sequence into another sequence, essentially consisting of two recurrent neural networks (RNNs), one is the Encoder, and the other is the ---------. (Fill in the blank.)
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: A,B,C | Question # 4 Answer: C | Question # 5 Answer: Only visible for members |
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