PDF Version DemoUnderstanding functional and technical aspects of Overview of artificial intelligence
The following will be discussed in HUAWEI H13-311 exam dumps:
- The Past, Present, and Future of AI
- Key Planning of AI in the World
- Advancement of AI Industries
- Human-Machine Relationship in the Era of AI
- Artificial intelligence Governance
- Equity and Equity in the Era of AI
- Artificial intelligence Society in the Future
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:
- Hyperparameter and Validation Set
- Perceptron and Training Rules
- Sorts of Neural Networks
- Learning Algorithms
- Uses of Deep Learning
- Enactment Functions
- Boundary Estimation
- Definition and Development of Neural Networks
- Most extreme Likelihood Estimation
- Bayes Estimation
- Regularization in Deep Learning
- Propaedeutics of Deep Learning
- Enhancer
- Normal Machine Learning Algorithms
- Outline of Deep Learning
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:
- Likelihood Distribution
- Organized Statistical Model
- Sick Condition
- Follow Operator
- Freedom and Conditional Independence
- Numeric Calculation
- Irregular Variables
- Likelihood Theory and Information Theory
- Data Theory
- Assumption, Variance, and Covariance
- Basic Probability Distribution
- Uncommon Matrices
- Restrictive Probability
- Inclination Based Optimization Method
- Eigendecomposition
- Flood and Underflow
- Particular Value Decomposition
- Imperative Optimization
- Ceaseless Variable
- Linear Algebra
- Determinants
- Model: Principal Component Analysis
- Minor Probability
- Model: Linear Least Squares
- Moore-Penrose Pseudoinverse
- Bayesian Rules
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Topics of Huawei Certified ICT Associate-Artificial Intelligence
The following will be discussed in HUAWEI H13-311 practice exam and HUAWEI H13-311 practice exams:
- Outline of Huawei cloud EI
- Outline of TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange
- Fundamental science information and pre-information for Deep Learning
- Python programming nuts and bolts
- Outline of computerized reasoning
- Outline of Deep Learning
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Artificial Intelligence Fundamentals | - AI concepts and basic principles
|
| Topic 2: AI Development and Huawei AI Ecosystem | - Huawei AI platform and tools
|
| Topic 3: Deep Learning Fundamentals | - Common deep learning models
|
| Topic 4: Machine Learning Basics | - Supervised learning
|
