Course Description
This section describes the main course, I feel able to put a picture cover all content of this chapter
here would like to make 5 major categories,
1, supervision: training, testing a collection of independent and identically distributed, classification or regression
2, unsupervised: Self-coding
3 , training, testing different set of distribution: Adversarial learning Domain
4, cutting-edge research: interpretability AI, malicious attacks, network compression
5, self-learning ability: MetaLearning, Life-Long learning, ReinforcementLearning
Ref:
1, 2020 lecture notes
2, Introduction lecture