School of Computer Science & Software Eng.,
The University of Western Australia
NEURAL COMPUTATION (CITS4210)
The lecture notes will delivered (and handed out) according to the schedule:
- Introduction
- Neurobiology and Architecture
- Treshold Gates
- Supervised Learning in a Single Unit Setting
- Energy Minimization for a Single Unit Supervised Learning - Part A
- Energy Minimization for a Single Unit Supervised Learning - Part B
- Feedforward Multilayer Neural Networks - Backpropagation Algorithm
- Neural Computation - Some Examples
- Discrete Hopfield Networks - Part A
- Discrete Hopfield Networks - Part B
- Separability and Minimal Polynomial Treshold Gate Realization
- General Position and Function Counting Theorem
- Computational Capabilities of Artificial Neural Networks
- Neural Computation and Global Search Techniques
Auxilliary Lecture Notes
Some useful links
Old Lecture notes |