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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:
Which of the following is not an acoustic feature of speech?
- A. Frequency
- B. Amplitude
- C. Semantics
- D. Duration
Correct Answer: C 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
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
Correct Answer: A 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
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.
Correct Answer: A,B,C 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
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
Correct Answer: C 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
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.)
Reveal Solution Discussion 0Correct Answer:
Decoder
Explanation:
The Seq2Seq architecture is widely used in machine translation, speech recognition, and other NLP tasks. It consists of:
* Encoder:Processes the input sequence and encodes it into a fixed-length context vector containing semantic information.
* Decoder:Uses this context vector to generate the target output sequence step by step.
Exact Extract from HCIP-AI EI Developer V2.5:
"Seq2Seq models consist of an encoder and a decoder. The encoder transforms the input into a context vector, which the decoder uses to generate the output sequence." Reference:HCIP-AI EI Developer V2.5 Official Study Guide - Chapter: Encoder-Decoder Architecture
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