Introduction
Overview of Artificial Intelligence (AI)
Machine learning
Computational intelligence
Understanding the Concepts of Neural Networks
Generative networks
Deep neural networks
Convolution neural networks
Understanding Various Learning Methods
Supervised learning
Unsupervised learning
Reinforcement learning
Semi-supervised learning
Other Computational Intelligence Algorithms
Fuzzy systems
Evolutionary algorithms
Exploring Artificial Intelligence Approaches to Optimization
Choosing AI Approaches Effectively
Learning about Stochastic Dynamic Programming
Relationship with AI
Implementing Mechatronic Applications with AI
Medicine
Rescue
Defense
Industry-agnostic trend
Case Study: The Intelligent Robotic Car
Programming the Major Systems of a Robot
Planning the Project
Implementing AI Capabilities
Searching and Motion Control
Localization and Mapping
Tracking and Controlling
Summary and Conclusion |
合作伙伴與授權(quán)機構(gòu)
總部李老師
