Weekly Schedule

Week Dates Topics Readings and Notes
1 Sept. 4 Introduction
Overview of the Brain
Chapter 1
2 Sept. 9-11 Biological Background
Review of Linear Algebra
Chapters 2-3, PDP handout
3 Sept. 16-18 Review of Probability
Linear Associators
Chapters 5-6
Last day to add: Monday Sept. 16
4 Sept. 23-25 Linear Associators
Perceptrons
Chapters 7-8
5 Sept. 30-Oct. 2 Perceptron Convergence Theorem Chapter 8
6 Oct. 7-9 Gradient Descent Learning
The Delta Rule
Chapter 9
7 Oct. 14-16 Backpropagation: Theory Chapter 9
8 Oct. 21 F A L L     B R E A K
Oct. 23 Backpropagation: Applications and Variations Last day to P/NC or drop: Thursday Oct. 24
9 Oct. 28-30 Hopfield Networks
Boltzmann Machines
Chapter 12
10 Nov. 4-6 Distributed Representations
Elman Networks
Chapter 10
11 Nov. 11-13 Recursive Auto-Associative Memory
Coupled Reverberating Elman Networks
 
12 Nov. 18-20 Sparse Distributed Memory
Genetic Algorithms
 
13 Nov. 25-27 Competitive Learning, LVQ
Kohonen Self-Organizing Maps
Chapter 14
T H A N K S G I V I N G     B R E A K
14 Dec. 2-4 Evolving Neural Networks with GAs  
15 Dec. 9-11 Project Presentations  
PROJECTS DUE: Monday, December 16, 5:00pm