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Understanding functional and technical aspects of Overview of TensorFlow, programming basics, and methods of using TensorFlow programming for image recognition, speech recognition, and human-machine dialogue
The following will be discussed in HUAWEI H13-311 exam dumps:
- Normal Machine Learning Algorithms
- Most extreme Likelihood Estimation
- Definition and Development of Neural Networks
- Regularization in Deep Learning
- Bayes Estimation
- Perceptron and Training Rules
- Sorts of Neural Networks
- Hyperparameter and Validation Set
- Enactment Functions
- Learning Algorithms
- Outline of Deep Learning
- Propaedeutics of Deep Learning
- Uses of Deep Learning
- Enhancer
- Boundary Estimation
Understanding functional and technical aspects of Overview of artificial intelligence
The following will be discussed in HUAWEI H13-311 exam dumps:
- Human-Machine Relationship in the Era of AI
- The Past, Present, and Future of AI
- Artificial intelligence Society in the Future
- Artificial intelligence Governance
- Advancement of AI Industries
- Equity and Equity in the Era of AI
- Key Planning of AI in the World
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Understanding functional and technical aspects of Essential mathematics knowledge and pre-knowledge for Deep Learning
The following will be discussed in HUAWEI H13-311 exam dumps:
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What is the duration, language, and format of Huawei Certified ICT Associate-Artificial Intelligence
- Format: Multiple choices, multiple answers
- Length of Examination: 160 minutes
- Number of Questions: 55
- Passing score: 80%
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Essential Mathematics for Deep Learning | 20% | |
| Overview of Artificial Intelligence | 9% | |
| Python Programming Basics | 20% | |
| Math Basics Experiment Guide | 5% | |
| TensorFlow Programming Experiment Guide | 2% | |
| Python Programming Experiment Guide | 5% | |
| Huawei Cloud EI Overview | 8% | |
| TensorFlow Overview and Programming | 6% | |
| Overview of Deep Learning | 25% |
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