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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview of ModelArts | 4% | - ModelArts platform architecture - Development and deployment workflow |
| Topic 2: Speech Processing Lab Guide | 12% | - Speech application development on ModelArts |
| Topic 3: Neural Network Basics | 4% | - Artificial neural network principles - Deep learning fundamentals - Network training and optimization |
| Topic 4: Theoretical Knowledge and Applications of Image Processing | 26% | - Image preprocessing and feature extraction - Convolutional neural networks - Computer vision overview - Image recognition, detection and segmentation |
| Topic 5: Image Processing Lab Guide | 12% | - ModelArts-based image development |
| Topic 6: ModelArts Platform Development Experiment | 10% | |
| Topic 7: Natural Language Processing Lab Guide | 10% | - NLP project practice on ModelArts |
| Topic 8: Overview of Huawei AI Development Strategy and Full-Stack, All-Scenario AI Portfolio | 2% | |
| Topic 9: Theoretical Knowledge and Applications of Speech Processing | 10% | - Speech recognition and synthesis - Acoustic and language models - Speech processing basics |
| Topic 10: Theoretical Knowledge and Applications of Natural Language Processing | 10% | - NLP core concepts - Common NLP tasks and applications - Text processing and representation |
The TextRank algorithm is based on the PageRank algorithm and can be used not only for keyword extraction but also for text summarization.
Correct Answer: A 🗳️
In ModelArts automatic learning projects, object detection only supports rectangular annotation boxes.
Correct Answer: A 🗳️
Which of the following scientists created the Lisp programming language?
Correct Answer: D 🗳️
Machine learning is a means to achieve the goal of artificial intelligence, and deep learning is one of the methods of machine learning.
Correct Answer: A 🗳️
The perceptron is used to receive multiple signals and output a signal (composed of multiple neurons). Each input signal has a certain weight, and the product of the values of multiple input signals and the weights is calculated. The result (sum) is compared with the specified threshold to determine whether the neuron is activated.
Correct Answer: A 🗳️
Marshall
Harvey
Ken
Meredith
Pete
Stanford
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