525. Neural Computation

Section 001, Fall 2005

All the final reports are under Project.
It is my pleasure to have this class. Feel free to contact me in the future if you want to discuss NN and AI.
Best wishes to everyone for 2006!

Under "topic", the lecture notes are linked. Under "reading", all references are to the required textbook.

WEEK DATE TOPIC READING

1 08/30 Introduction Chapter 1

2 09/06 Learning Process Sections 2.1-2.10, 2.12

3 09/13 Single-layer Perceptrons Chapter 3

4 09/20 Multilayer Perceptrons Sections 4.1-4.9, 4.16, 4.20

5 09/27 Radial-Basis Function Networks Chapter 5

6 10/04 Support Vector Machines Chapter 6

7 10/11 project plans

8 10/18 Principal Components Analysis Chapter 8

9 10/25 Self-Organizing Maps Chapter 9

10 11/01 Stochastic Machines Chapter 11

11 11/08 Neurodynamic Programming Chapter 12

12 11/15 Neurodynamics Chapter 14

13 11/22 no class - calendar adjustment

14 11/29 oral presentations

15 12/06 Capability of Neural Networks

Due dates:

All submissions are by email to pei.wang@temple.edu (Format: HTML, DOC, PDF, PS, TXT)

WEEK	DATE	TOPIC	READING
1	08/30	Introduction	Chapter 1
2	09/06	Learning Process	Sections 2.1-2.10, 2.12
3	09/13	Single-layer Perceptrons	Chapter 3
4	09/20	Multilayer Perceptrons	Sections 4.1-4.9, 4.16, 4.20
5	09/27	Radial-Basis Function Networks	Chapter 5
6	10/04	Support Vector Machines	Chapter 6
7	10/11	project plans
8	10/18	Principal Components Analysis	Chapter 8
9	10/25	Self-Organizing Maps	Chapter 9
10	11/01	Stochastic Machines	Chapter 11
11	11/08	Neurodynamic Programming	Chapter 12
12	11/15	Neurodynamics	Chapter 14
13	11/22	no class - calendar adjustment
14	11/29	oral presentations
15	12/06	Capability of Neural Networks