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:
- Boundary Estimation
- Most extreme Likelihood Estimation
- Normal Machine Learning Algorithms
- Definition and Development of Neural Networks
- Sorts of Neural Networks
- Uses of Deep Learning
- Bayes Estimation
- Propaedeutics of Deep Learning
- Learning Algorithms
- Perceptron and Training Rules
- Hyperparameter and Validation Set
- Outline of Deep Learning
- Enhancer
- Enactment Functions
- Regularization in Deep Learning
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Who should take the Huawei Certified ICT Associate-Artificial Intelligence
Engineers who need to master AI technologies, learn and use deep learning algorithms, and master Huawei AI-related product technologies.
Understanding functional and technical aspects of Overview of artificial intelligence
The following will be discussed in HUAWEI H13-311 exam dumps:
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Machine Learning Overview | 20% | - Supervised, unsupervised, reinforcement learning - Model training, evaluation, overfitting, underfitting - Common algorithms: regression, decision tree, SVM, clustering |
| Topic 2: Deep Learning Overview | 25% | - Neural network structure and backpropagation - CNN, RNN/LSTM, Transformer basics - Activation, loss functions, optimizers |
| Topic 3: Huawei AI Solutions & Applications | 5% | - Ascend chips, Atlas hardware, CANN - Edge/cloud AI deployment scenarios - Full-stack all-scenario AI strategy |
| Topic 4: AI Overview | 15% | - Typical industry applications and AI ethics - Definition, history and development trends of AI - Main technical branches: ML, DL, computer vision, NLP |
| Topic 5: Mathematics and Python Basics | 15% | - Linear algebra, probability, statistics, calculus fundamentals - Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib |
| Topic 6: AI Development Frameworks | 20% | - MindSpore framework fundamentals and operations - Huawei Cloud ModelArts, Ascend AI ecosystem - TensorFlow/PyTorch basics |
