| Date | Topic | Reading | Handouts
|
|---|
| Jan 13
| Introduction
| 1.1-1.4
| Course-Page, Schedule
|
| Jan 15
| Feedback and Network Architectures
| 1.4-1.9
|
|
| Jan 20
| History
| 1.10
|
|
| Jan 22
| Learning 2.1-2.6
| 4.4
|
|
| Jan 27
| Learning continued, Perceptrons
| 2.7-2.10, 4.1-4.2, Table 4.1
|
|
| Jan 29
| Perceptron Convergence Theorem
| 4.1-4.3, mainly pp 109-112
|
|
| Feb 3
| Correlation Matrix
| 3.1-3.5
|
|
| Feb 5
| Least Mean Square Algorithm
| 5.1-5.4
|
|
| Feb 10
| LMS, Adalines, Madalines
| 5.4-5.9
|
|
| Feb 12
| Back Propagation
| 6.1-6.3
|
|
| Feb 17
| Multilayer Perceptrons
| 6.3-6.5
|
|
| Feb 19
| Multilayer Perceptrons
| 6.5-6.11
|
|
| Feb 24
| MLP with SNNS
| 6.11
|
|
| Feb 26
| Midterm Exam
|
|
|
| Mar 3
| MLP Final Touches
| 7.1-7.5, 7.12
|
|
| Mar 5
| Cross Validation / Function Approximation
| 6.12
|
|
| Mar 10
| Spring Break
|
|
|
| Mar 12
| Spring Break
|
|
|
| Mar 17
| Adapting Learning Rates
| 6.13-6.16
|
|
| Mar 19
| Fuzzy Learning / Radial Basis Function
| 6.16, 7.1-7.4
|
|
| Mar 24
| Radial Basis Function Networks
| 7.3-7.11, 8.1-8.2
|
|
| Mar 26
| Hopfield Networks
| 8.1-8.3
|
|
| Mar 31
| Hopfield Networks II
| 8.1-8.6, 8.9, 8.10, 8.11
|
|
| Apr 2
| Simulated Annealing
| 8.8, 8.10, 8.11
|
|
| Apr 7
| Boltzmann
| 8.11
|
|
| Apr 9
| Mean Field Theory
| 8.13-8.15
|
|
| Apr 14
| Self Organizing Systems
| 9.1-9.3
|
|
| Apr 16
| Self Organizing Systems II
| 10.1-10.5
|
|
| Apr 21
| Self-Organizing Feature Map
| 10.5-10.6, 10.9
|
|
| Apr 23
| Information Theoretic Models
| 11.1-11.4
|
|
| May 5
| Exam
| Comprehensive
|
|