週次 |
日期 |
單元主題 |
第1週 |
9/13 |
310 教室上課。 Chapter 1 + Chapter 2
請想要修課的同學到場簽名,若無法到場請與老師和助教聯絡。 |
第2週 |
9/20 |
Chapter 4
MLP + NetTalk |
第3週 |
9/27 |
Chapter 4 + MLP |
第5週 |
10/11 |
Chapter 5 MLP kernel + tiling algorithm + chapter 3
http://red.csie.ntu.edu.tw/NN/Classinfo/SIR.pdf
https://link.springer.com/chapter/10.1007%2F978-3-642-03040-6_46
http://red.csie.ntu.edu.tw/publications/ICONIP2008/ICONIP2008_87_ppt.pdf
tiling algorithm
http://red.csie.ntu.edu.tw/NN/Demo/demo.html
Chapter 3
http://red.csie.ntu.edu.tw/publications/2016/A%20Parallel%20Bi%2Dperceptron%20Approach%20and%20its%20Application%20to%20Data%20Classification.pdf |
第6週 |
10/18 |
Elman network + Chapter 5
http://www.sciencedirect.com/science/article/pii/S0925231214003658?via=ihub
Chapter 5
http://red.csie.ntu.edu.tw/publications/2017/Loading%20Discriminative%20Feature%20Representations%20in%20Hidden%20Layer.pdf |
第7週 |
10/25 |
reinforcement learning
http://red.csie.ntu.edu.tw/NN/Demo/q_learning/q-learning%20demo.htm
download the word file
http://red.csie.ntu.edu.tw/NN/Demo/q_learning/Q-learning_readme.doc
http://red.csie.ntu.edu.tw/NN/Demo/demo.html
|
第8週 |
11/01 |
RL references in
Neuronlike adaptive elements that can solve difficult learning control problems by Sutton 1983
http://ieeexplore.ieee.org/abstract/document/6313077/
MIT 6.S191 Lecture 6: Deep Reinforcement Learning
https://www.youtube.com/watch?v=xWe58WGWmlk&t=1139s
Chapter 5
Elman network + Chapter 5
http://www.sciencedirect.com/science/article/pii/S0925231214003658?via=ihub
Chapter 5
http://red.csie.ntu.edu.tw/publications/2017/Loading%20Discriminative%20Feature%20Representations%20in%20Hidden%20Layer.pdf |
第9週 |
11/08 |
Hpofield model
https://en.wikipedia.org/wiki/Hopfield_network
An introduction to computing with neural nets, by Lippmann
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1165576
Chapter 6
Boltzmann machine |
第11週 |
11/22 |
Boltzmann machine
http://www.google.com.tw/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0ahUKEwicvtrEicrXAhWDwbwKHQC5B6EQFgguMAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.90.7282%26rep%3Drep1%26type%3Dpdf&usg=AOvVaw2kZ2wZ9OIZL-4aGUOMele4
Reduced Boltzmann machine
https://en.wikipedia.org/wiki/Restricted_Boltzmann_machine
|
第12週 |
11/29 |
Chapter 5
http://red.csie.ntu.edu.tw/publications/2017/Loading%20Discriminative%20Feature%20Representations%20in%20Hidden%20Layer.pdf
also, in C.43
http://red.csie.ntu.edu.tw/Publications.htm
Chapter 6 Hopfield model
https://link.springer.com/chapter/10.1007%2F11840817_72
ppt+code in B.2
http://red.csie.ntu.edu.tw/Publications.htm |
第13週 |
12/06 |
self-organizing map
paper by Kohonen
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=28 |
第14週 |
12/13 |
Chapter 5 SIR-SOM
paper :
https://link.springer.com/content/pdf/10.1007%2F978-3-642-03040-6_1.pdf
tutorial :
http://red.csie.ntu.edu.tw/publications/ICONIP2008/ICONIP2008_86_ppt.pdf
conformal SOM
J14+J16+J17+J18+J25+B4 |
第15週 |
12/20 |
SOM pattern recognition STD method
paper J.10 in http://red.csie.ntu.edu.tw/Publications.htm
http://red.csie.ntu.edu.tw/hcr_std/usage.html
Feature-to-feature adhesion method paper in J.13
http://red.csie.ntu.edu.tw/Publications.htm
|
第16週 |
12/27 |
SOM
Self-organization using Potts models
http://www.sciencedirect.com/science/article/pii/0893608095001115
NN video |
第17週 |
1/03 |
心得 測驗
所有作業 project 今天下午截止 |