週次 |
日期 |
單元主題 |
第1週 |
09/14 |
Introduction
Linear Regression - Part I |
第2週 |
09/21 |
Bias and Variance Errors
Gradient Decent |
第3週 |
09/28 |
Linear Regression - Part II
Classification with Probabilistic Generative Model |
第4週 |
10/05 |
Logistic Regression
Deep Learning Introduction |
第5週 |
10/12 |
Back Propagation
Deep Learning Implementation and tips |
第6週 |
10/19 |
Convolutional Neural Network |
第7週 |
10/26 |
Dimensionality Reduction: Principle Component Analysis, Neighbor Embedding |
第8週 |
11/02 |
Neighbor Embedding |
第9週 |
11/09 |
Ensemble: Bagging and Boosting |
第10週 |
11/16 |
Auto-Encoder;
Word Embedding |
第11週 |
11/23 |
Recurrent Neural Network
Support Vector Machine - Introduction |
第12週 |
11/30 |
Support Vector Machine: Optimization and Kernel
|
第13週 |
12/07 |
Support Vector Machine: Lagranian Duality and Kernel |
第14週 |
12/14 |
Expectation Maximization
Strong Duality Theorem
(Strong Duality Theorem 不考) |
第15週 |
12/21 |
Semi-Supervised Learning; |
第16週 |
12/28 |
Final Exam |
第17週 |
01/04 |
Generative Adversarial Network |
第18週 |
01/11 |
Final Project Presentation |