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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:
- Uses of Deep Learning
- Enhancer
- Bayes Estimation
- Hyperparameter and Validation Set
- Boundary Estimation
- Definition and Development of Neural Networks
- Normal Machine Learning Algorithms
- Learning Algorithms
- Regularization in Deep Learning
- Most extreme Likelihood Estimation
- Outline of Deep Learning
- Sorts of Neural Networks
- Propaedeutics of Deep Learning
- Perceptron and Training Rules
- Enactment Functions
How much Huawei Certified ICT Associate-Artificial Intelligence cost
Huawei Certified ICT Associate-Artificial Intelligence cost is $250 USD
Understanding functional and technical aspects of Overview of artificial intelligence
The following will be discussed in HUAWEI H13-311 exam dumps:
- Key Planning of AI in the World
- Artificial intelligence Governance
- Artificial intelligence Society in the Future
- Equity and Equity in the Era of AI
- Human-Machine Relationship in the Era of AI
- Advancement of AI Industries
- The Past, Present, and Future of AI
Huawei H13-311-ENU Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence) |
| Exam Number: | H13-311-ENU |
| Real Exam Qty: | 50-60 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 600/1000 |
| Available Languages: | Chinese, English |
| Exam Price: | 200 USD |
| Exam Format: | Single-answer questions, Drag and drop, Fill-in-the-blank, Multiple-answer questions, True or false |
| Exam Duration: | 90 minutes |
| Related Certifications: | HCIE-AI HCIP-AI |
| Recommended Training: | Huawei Official HCIA-AI Training Huawei Cloud Academy |
| Exam Registration: | Pearson VUE Registration Huawei Official Certification Portal |
| Sample Questions: | Huawei H13-311-ENU Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No mandatory prerequisites; recommended basic knowledge of mathematics, Python programming, and introductory AI concepts |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification/hcia-ai |
Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Huawei AI Solutions & Applications | 5% | - Ascend chips, Atlas hardware, CANN - Edge/cloud AI deployment scenarios - Full-stack all-scenario AI strategy |
| AI Development Frameworks | 20% | - Huawei Cloud ModelArts, Ascend AI ecosystem - TensorFlow/PyTorch basics - MindSpore framework fundamentals and operations |
| Deep Learning Overview | 25% | - Neural network structure and backpropagation - Activation, loss functions, optimizers - CNN, RNN/LSTM, Transformer basics |
| Machine Learning Overview | 20% | - Model training, evaluation, overfitting, underfitting - Supervised, unsupervised, reinforcement learning - Common algorithms: regression, decision tree, SVM, clustering |
| Mathematics and Python Basics | 15% | - Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib - Linear algebra, probability, statistics, calculus fundamentals |
| AI Overview | 15% | - Typical industry applications and AI ethics - Definition, history and development trends of AI - Main technical branches: ML, DL, computer vision, NLP |
By Rudolf
