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 |