Neural Networks Tutorial

The Single Layer Perceptron and Multilayer Perceptron

Author: Travis Wells

The following tutorial is based on two closely related Neural Network topics, these are The Single-Layer Perceptron and The Multi-Layer Perceptron. The tutorial will run through these topics in a linear fashion to ease you learning of these new topics. There are ten parts to the tutorial, once completed a section you can move forward by clicking on "next". To go back over what you have already learnt click on "previous". The layout for the tutorial shall be as follows:

1. Introduction: The Basic Neuron

2. Example 1: The Basic Neuron

3. Perceptron Learning Theory

4. Perceptron Learning Algorithm

5. Example 2: Binary Logic Unit

6. Example 3: Perceptron Learning in 2-d pattern space

7. MultiLayer Perceptron Learning Theory

8. MultiLayer Perceptron Learning Algorithm

9. Example 4: Perceptorn Learning in 2-d pattern space revisited

10. Knowledge Test