週次 |
日期 |
單元主題 |
第1週 |
3/01 |
Introduction; Regression; Bias and Variance Errors |
第2週 |
3/08 |
Gradient Decent; Classification with Probabilistic Generative Model |
第3週 |
3/15 |
Logistic Regression, Deep Learning Introduction
|
第4週 |
3/22 |
Back Propagation, Deep Learning Implementation, Machine Learning Tips |
第5週 |
3/29 |
Deep Learning II: Tips for Training Neural Network & Convolutional Neural Network (CNN) |
第7週 |
4/12 |
Dimensionality Reduction: Principle Component Analysis, Neighbor Embedding |
第8週 |
4/19 |
Ensemble and Auto encoder |
第9週 |
4/26 |
Recurrent Neural Network |
第10週 |
5/03 |
Recurrent Neural Network; Word Embedding |
第11週 |
5/10 |
Semi-Supervised Learning; Matrix Factorization |
第12週 |
5/17 |
Expectation Maximization
|
第13週 |
5/24 |
Generative Adversarial Network
|
第14週 |
5/31 |
Support Vector Machine: Introduction and Optimization
|
第15週 |
6/07 |
Support Vector Machine: Duality |
第16週 |
6/14 |
Support Vector Machine: Kernel |
第17週 |
6/21 |
Transfer Learning; Reinforcement Learning |