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| Section | Weight | Objectives |
|---|---|---|
| Deep Learning Fundamentals | 15% | - Neural Network Basics - Training and Fine-tuning - Optimization Algorithms - CNN and RNN Architectures |
| Natural Language Processing Application | 15% | - Language Model Fine-tuning - Text Classification Models - Named Entity Recognition - Text Preprocessing and Embedding |
| EI Model Development Fundamentals | 15% | - EI Service and Architecture - Development Environment Setup - Model Development Process - HiLens Framework and Skills |
| HiLens Platform Development | 20% | - Multi-modal Data Processing - Edge Deployment Strategy - Skill Development Framework - Real-time Inference Optimization |
| ModelArts Pro Development | 20% | - Model Deployment and Management - Inference Service Configuration - Hyperparameter Optimization - AutoML and Automatic Model Training |
| Image Recognition Application Development | 15% | - Image Classification Models - Transfer Learning with Pre-trained Models - Object Detection Implementation - Image Segmentation |
Question 1
If OpenCV is used to read an image and save it to variable "img" during image preprocessing, (h, w) = img.
shape[:2] can be used to obtain the image size.
A. FALSE
B. TRUE
Question 2
Vision transformer (ViT) performs well in image classification tasks. Which of the following is the main advantage of ViT?
A. The self-attention mechanism is used to capture global features of images, improving classification accuracy.
B. It achieves fast convergence without using pre-trained models.
C. It can process high-resolution images to enhance classification accuracy.
D. It can handle small datasets with minimal labeling required.
Question 3
Which of the following statements about the levels of natural language understanding are true?
A. Semantic analysis is to analyze the structure of sentences and phrases to find out the relationship between words and phrases, as well as their functions in sentences.
B. Speech analysis involves distinguishing independent phonemes from a speech stream based on phoneme rules, and then identifying syllables and their lexemes or words according to the phoneme form rules.
C. Lexical analysis is to find the lexemes of a word and obtain linguistic information from them.
D. Pragmatic analysis is to study the influence of the language's external environment on the language users.
E. Syntactic analysis is to find out the meaning of words, structural meaning, their combined meaning, so as to determine the true meaning or concept expressed by a language.
Question 4
What are the advantages of deep learning-based speech recognition algorithms?
A. End-to-end task processing
B. Forced alignment of annotated data
C. Automated feature extraction
D. No data training
Question 5
The objective of -------- is to extract and classify named entities in a text into pre-defined classes such as names, organizations, locations, time expressions, monetary values, and percentages. (Enter the abbreviation.)
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: B,C,D | Question 4 Answer: A,C | Question 5 Answer: Only visible for members |
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