Schedule
Week, Day
|
Topic, Unit, Activity
|
Homework
|
W15, 05/31 |
Neural Networks and Deep Learning, Michael Nielsen, 2015.
* Activity: Practice of group discussions by role playing * Suggestions and requirements for final report |
W14, 05/24 |
Neural Networks and Deep Learning, Michael Nielsen, 2015.
* Suggestions and requirements for programming presentation |
W13, 05/17 |
A Tutorial on Deep Learning, Quoc V. Le (Research Scientist, Google), 2015/10. (video)
* Activity: Students' sharing of tutorial 3 |
W12, 05/10 |
05 - Deep Neural Networks II: CNN (slide)
* Assign final homework * How to give an oral presentation |
W11, 05/3 |
05 - Deep Neural Networks I: What Is It (slide)
* Announce final homework |
Choose your final homework by briefly reading all of 6 chapters of the book.
|
W10, 04/26 |
04 - Neural Networks II: learning of MLP (slide, lecture note)
* Activity: Teacher's comments on HWR5 |
HWR6 - Backpropagation learning algorithm
|
Week 09, 04/19 (midterm week) |
No class
|
|
W08, 04/12 |
04 - Neural Networks I: neural information processing (continued)
* Activity: Teacher's comments on HWR4 |
HWR5 - MLP and XOR
|
Week 07, 04/05 |
No class (spring break)
|
W06, 03/29 |
04 - Neural Networks I: neural information processing (slide, lecture note)
*Activity: Student presentation of HWR3 (Chinese/English) |
HWR4 - Perceptron learning algorithm
|
W05, 03/22 |
03 - Introduction to Machine Learning
* Activity: Teacher's comments on HWR2 |
HWR3: How does machine learning work: decision tree as an example
|
W04, 03/15 |
03 - Introduction to Machine Learning (slide)
* Activity: Teacher's comments on HWR1 |
HWR2: Linear classifier and neural networks
Ex2: Organize your web site according to the tutorial 2. No report for this exercise. |
W03, 03/08 |
02 - Background of Classification (lecture note)
|
HWR1: What is pattern recognition
|
W02, 03/01 |
|