HCIA-AI Artificial Intelligence

Course details

Math Basics Experiment Guide
Linear Algebra Practices
Probability Theory Practices
Numerical Computation Example Practices, Scenario

Propaedeutics and Overview of Deep Learning
Definition and Development of Neural Networks
Perceptron and Training Rules
Activation Functions
Types of Neural Networks
Regularization in Deep Learning
Optimizer
Applications of Deep Learning

Learning Algorithms
Common Machine Learning Algorithms
Hyperparameter and Validation Set
Parameter Estimation
Maximum Likelihood Estimation
Bayes Estimation

Python Programming Basics Experiment Guide
Lists and Tuples
Strings, Dictionaries
Conditional and Loop Statements
Functions
Object-Oriented Programming
Date and Time
Regular Expressions
File Manipulation

Huawei Cloud EI Overview
Basic Platform Services
Common Services
Industry-specific Services
Concept of AI and Origin of EI
Image Recognition Programming Experiment Guide

Python Programming Basics
Introduction to Python
Lists and Tuples
Strings, Dictionaries
Conditional and Loop Statements
Functions, Object-Oriented Programming
Date and Time, Regular Expressions, File Manipulation

Math Basics Numeric Calculation
Overflow and Underflow
Ill-Condition
Gradient Based Optimization Method
Constraint Optimization
Example: Linear Least Squares

Linear Algebra
Special Matrices
Eigendecomposition
Singular Value Decomposition
Moore-Penrose Pseudoinverse
Trace Operator, Determinants
Example: Principal Component Analysis

Probability Theory and Information Theory
Random Variables
Probability Distribution
Marginal Probability
Conditional Probability
Independence and Conditional Independence
Expectation, Variance, and Covariance
Common Probability Distribution
Bayesian Rules
Continuous Variable
Information Theory
Structured Statistical Model

Human-Machine Dialogue Programming Experiment Overview of Artificial Intelligence
The Past, Present, and Future of AI
Development of AI Industries
Strategic Planning of AI in the World
Justice and Equity in the Era of AI
Human-Machine Relationship in the Era of AI
AI Governance, AI Society in the Future

TensorFlow Programming Basics Experiment Guide
Linear Regression — House Price Prediction
Eight Knowledge Points
Hello World, Session
Matrix Multiplication
Definition of Variables
TensorBoard Visualization
Data Read and Processing
Graph Operation
Saving and Using Models
TensorFlow Overview
Other Deep Learning Frameworks
TensorFlow Modules and Development Environment Setup

Basic Development Steps Using TensorFlow
Defining the TensorFlow Input Node
Defining the Learning Parameter Variable
Defining the Operation
Optimizing Functions and Objectives
Initializing All Variables
Iterate and Update Parameters to the Optimal Solution
Testing the Model
Using the Model
TensorFlow Basics and Characteristics

Speech Recognition Programming Experiment Guide Updated on 20 July, 2020