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Huawei H13-311-ENU valid - in .pdf

H13-311-ENU pdf
  • Exam Code: H13-311-ENU
  • Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
  • Q & A: 175 Questions and Answers
  • PDF Price: $79.99
  • Free Demo

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  • Exam Code: H13-311-ENU
  • Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
  • Q & A: 175 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $159.98  $99.99
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H13-311-ENU Testing Engine
  • Exam Code: H13-311-ENU
  • Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
  • Q & A: 175 Questions and Answers
  • Software Price: $79.99
  • Testing Engine

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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:

  • Perceptron and Training Rules
  • Enhancer
  • Normal Machine Learning Algorithms
  • Boundary Estimation
  • Learning Algorithms
  • Bayes Estimation
  • Outline of Deep Learning
  • Enactment Functions
  • Hyperparameter and Validation Set
  • Propaedeutics of Deep Learning
  • Regularization in Deep Learning
  • Most extreme Likelihood Estimation
  • Sorts of Neural Networks
  • Definition and Development of Neural Networks
  • Uses of Deep Learning

For more info visit:

Huawei Talent

Understanding functional and technical aspects of Python programming basics

The following will be discussed in HUAWEI H13-311 exam dumps:

  • Restrictive and Loop Statements
  • Record Manipulation
  • Customary Expressions
  • Prologue to Python
  • Date and Time
  • Strings
  • Word references
  • Records and Tuples
  • Article Oriented Programming
  • Capacities

Huawei H13-311-ENU Exam Syllabus Topics:

SectionWeightObjectives
AI Overview15%- Main technical branches: ML, DL, computer vision, NLP
- Definition, history and development trends of AI
- Typical industry applications and AI ethics
Machine Learning Overview20%- Supervised, unsupervised, reinforcement learning
- Model training, evaluation, overfitting, underfitting
- Common algorithms: regression, decision tree, SVM, clustering
Huawei AI Solutions & Applications5%- Full-stack all-scenario AI strategy
- Ascend chips, Atlas hardware, CANN
- Edge/cloud AI deployment scenarios
AI Development Frameworks20%- Huawei Cloud ModelArts, Ascend AI ecosystem
- MindSpore framework fundamentals and operations
- TensorFlow/PyTorch basics
Mathematics and Python Basics15%- Linear algebra, probability, statistics, calculus fundamentals
- Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib
Deep Learning Overview25%- CNN, RNN/LSTM, Transformer basics
- Neural network structure and backpropagation
- Activation, loss functions, optimizers

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