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Understanding functional and technical aspects of Overview of artificial intelligence

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  • Artificial intelligence Governance
  • Artificial intelligence Society in the Future
  • Advancement of AI Industries
  • The Past, Present, and Future of AI
  • Human-Machine Relationship in the Era of AI
  • Key Planning of AI in the World
  • Equity and Equity in the Era of AI

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Understanding functional and technical aspects of Overview of Deep Learning

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  • Characterizing the Learning Parameter Variable
  • Testing the Model
  • Characterizing the Operation
  • TensorFlow Characteristics
  • Characterizing the TensorFlow Input Node
  • Utilizing the Model
  • TensorFlow Modules
  • Upgrading Functions and Objectives
  • TensorFlow Development Environment Setup
  • Fundamental Development Steps Using TensorFlow
  • TensorFlow Overview
  • Repeat and Update Parameters to the Optimal Solution
  • Instating All Variables
  • TensorFlow Basics

What is the duration, language, and format of Huawei Certified ICT Associate-Artificial Intelligence

  • Length of Examination: 160 minutes
  • Passing score: 80%
  • Number of Questions: 55
  • Format: Multiple choices, multiple answers

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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:

  • Restrictive Probability
  • Moore-Penrose Pseudoinverse
  • Model: Linear Least Squares
  • Ceaseless Variable
  • Sick Condition
  • Model: Principal Component Analysis
  • Data Theory
  • Irregular Variables
  • Assumption, Variance, and Covariance
  • Determinants
  • Follow Operator
  • Likelihood Theory and Information Theory
  • Linear Algebra
  • Inclination Based Optimization Method
  • Organized Statistical Model
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  • Basic Probability Distribution
  • Imperative Optimization
  • Flood and Underflow
  • Freedom and Conditional Independence
  • Numeric Calculation
  • Minor Probability
  • Bayesian Rules
  • Uncommon Matrices
  • Eigendecomposition
  • Particular Value Decomposition

Huawei H13-311-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Overview of Deep Learning25%
Topic 2: Python Programming Experiment Guide5%
Topic 3: TensorFlow Programming Experiment Guide2%
Topic 4: Huawei Cloud EI Overview8%
Topic 5: TensorFlow Overview and Programming6%
Topic 6: Python Programming Basics20%
Topic 7: Overview of Artificial Intelligence9%
Topic 8: Math Basics Experiment Guide5%
Topic 9: Essential Mathematics for Deep Learning20%

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