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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:
- Bayes Estimation
- Enhancer
- Definition and Development of Neural Networks
- Perceptron and Training Rules
- Sorts of Neural Networks
- Outline of Deep Learning
- Learning Algorithms
- Regularization in Deep Learning
- Most extreme Likelihood Estimation
- Hyperparameter and Validation Set
- Enactment Functions
- Normal Machine Learning Algorithms
- Propaedeutics of Deep Learning
- Uses of Deep Learning
- Boundary Estimation
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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 TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange
- Outline of Huawei cloud EI
- Outline of Deep Learning
- Python programming nuts and bolts
- Outline of computerized reasoning
- Fundamental science information and pre-information for Deep Learning
Understanding functional and technical aspects of Overview of Huawei cloud EI
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- Insights regarding Huawei Cloud EI
- Idea of AI and Origin of EI
- Basic Services
- Industry-explicit Services
- Fundamental Platform Services
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Deep Learning Overview | 25% | - Activation, loss functions, optimizers - CNN, RNN/LSTM, Transformer basics - Neural network structure and backpropagation |
| Machine Learning Overview | 20% | - Supervised, unsupervised, reinforcement learning - Common algorithms: regression, decision tree, SVM, clustering - Model training, evaluation, overfitting, underfitting |
| AI Development Frameworks | 20% | - MindSpore framework fundamentals and operations - TensorFlow/PyTorch basics - Huawei Cloud ModelArts, Ascend AI ecosystem |
| Huawei AI Solutions & Applications | 5% | - Edge/cloud AI deployment scenarios - Full-stack all-scenario AI strategy - Ascend chips, Atlas hardware, CANN |
| Mathematics and Python Basics | 15% | - Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib - Linear algebra, probability, statistics, calculus fundamentals |
| AI Overview | 15% | - Main technical branches: ML, DL, computer vision, NLP - Definition, history and development trends of AI - Typical industry applications and AI ethics |
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