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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: EI Model Development Fundamentals | 15% | - Model Development Process - HiLens Framework and Skills - Development Environment Setup - EI Service and Architecture |
| Topic 2: Image Recognition Application Development | 15% | - Transfer Learning with Pre-trained Models - Object Detection Implementation - Image Segmentation - Image Classification Models |
| Topic 3: HiLens Platform Development | 20% | - Real-time Inference Optimization - Skill Development Framework - Multi-modal Data Processing - Edge Deployment Strategy |
| Topic 4: Natural Language Processing Application | 15% | - Text Preprocessing and Embedding - Named Entity Recognition - Language Model Fine-tuning - Text Classification Models |
| Topic 5: ModelArts Pro Development | 20% | - AutoML and Automatic Model Training - Model Deployment and Management - Hyperparameter Optimization - Inference Service Configuration |
| Topic 6: Deep Learning Fundamentals | 15% | - CNN and RNN Architectures - Optimization Algorithms - Neural Network Basics - Training and Fine-tuning |
1. Transformer models outperform LSTM when analyzing and processing long-distance dependencies, making them more effective for sequence data processing.
A) TRUE
B) FALSE
2. What are the advantages of deep learning-based speech recognition algorithms?
A) No data training
B) Forced alignment of annotated data
C) End-to-end task processing
D) Automated feature extraction
3. Which of the following is a learning algorithm used for Markov chains?
A) Exhaustive search
B) Baum-Welch algorithm
C) Forward-backward algorithm
D) Viterbi algorithm
4. The basic operations of morphological processing include dilation and erosion. These operations can be combined to achieve practical algorithms such as opening and closing operations.
A) TRUE
B) FALSE
5. In 2017, the Google machine translation team proposed the Transformer in their paperAttention is All You Need. In a Transformer model, there is customized LSTM with CNN layers.
A) TRUE
B) FALSE
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C,D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |
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