• Part 1 – A1. Theory of CNN – A2. Feed forward details – A2. Back propagation details • Part B: CNN Systems • Part C: CNN Tools ch9. CNN. V9b3 2

《金融投资学》教学资源（英文文献）Intertemporal Asset Pricing Theory

《金融投资学》教学资源（英文文献）A Unified Theory of Underreaction, Momentum Trading and Overreaction in Asset Markets

《金融投资学》教学资源（英文文献）CAPM Theory Evidence（Fama）

Part 1: Overview of Vanilla (traditional) Autoencoder • Introduction • Theory • Architecture • Application • Examples Part 2: Variational autoencoder Will learn • Learn what is Variational autoencoder • How to train it? • How to use it?

4.1 Introduction to Asymptotic Theory 4.2 Framework and Assumptions 4.3 Consistency of OLS 4.4 Asymptotic Normality of OLS 4.5 Asymptotic Variance Estimation 4.6 Hypothesis Testing 4.7 Testing for Conditional Homoskedasticity 4.8 Conclusion

香港中文大学：《CMSC5719 Seminar》课程教学资源（讲义）Lecture 02 Game theory in computer science

香港中文大学：《Theory of Computational Complexity》课程教学资源（讲义）Lecture 11 Information theoretical argument

香港中文大学：《Theory of Computational Complexity》课程教学资源（讲义）Lecture 9 Circuit Complexity

香港中文大学：《Theory of Computational Complexity》课程教学资源（讲义）Lecture 6 Formula complexity II