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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 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:
- Outline of Deep Learning
- Enhancer
- Sorts of Neural Networks
- Normal Machine Learning Algorithms
- Definition and Development of Neural Networks
- Hyperparameter and Validation Set
- Uses of Deep Learning
- Learning Algorithms
- Most extreme Likelihood Estimation
- Perceptron and Training Rules
- Regularization in Deep Learning
- Enactment Functions
- Propaedeutics of Deep Learning
- Boundary Estimation
- Bayes Estimation
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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:
- Organized Statistical Model
- Likelihood Distribution
- Flood and Underflow
- Eigendecomposition
- Moore-Penrose Pseudoinverse
- Follow Operator
- Numeric Calculation
- Uncommon Matrices
- Likelihood Theory and Information Theory
- Model: Linear Least Squares
- Sick Condition
- Bayesian Rules
- Model: Principal Component Analysis
- Inclination Based Optimization Method
- Ceaseless Variable
- Irregular Variables
- Data Theory
- Determinants
- Minor Probability
- Particular Value Decomposition
- Restrictive Probability
- Assumption, Variance, and Covariance
- Linear Algebra
- Freedom and Conditional Independence
- Basic Probability Distribution
- Imperative Optimization
