Course: Neural Networks

Neural

Networks

Please refer to my course on the Fundamentals of Mathematics to recap the level of mathematics assumed in this lecture course.

Motivation file
Text Books file
About file
Class Photos (2000 - 2004) Resource

This is a course that I taught many years ago from 2000 to 2004. I hope you find these notes useful. Please do take the time to send me feedback on errors that you may find, etc.

Lecture 1 : Fundamentals file
Lecture 2 : Data Preprocessing file
Lecture 3 : Single Layer Perceptron file
Lecture 4 : Multi Layer Perceptron file
Lecture 5 : Training & Testing file
Lecture 6 : Error Function file
Lecture 7 : Hidden Layer Weights file
Lecture 8 : Backpropagation Algorithm file
Lecture 9 : Variations on the Backpropagation Algorithm file
Lecture 10 : Kohonen's Neural Network file
Lecture 11 : Kohonen's SOM II file
Lecture 12 : Learning Vector Quantization (LVQ) file
Lecture 13 : Variations on LVQ file
Lecture 14 : Cluster Analysis file
Lecture 15 : Radial Basis Function (RBF) Networks file
Lecture 16 : RBF First Training Phase file
Lecture 17 : RBF : Second Training Phase file
Lecture 18 : Autoassociative Networks file
Lecture 19 : Autoassociative Networks II file
Lecture 20 : Selecting a Neural Network file

Tutorials, Exam Papers with Solutions
Use the interactive tutor to help you solve the problems. Access to the exam papers is only for UWI students.

Interactive Tutor file
Tutorial 1 : Perceptron file
Tutorial 2 : Multi-Layer Networks file
Tutorial 3 : Kohonen and LVQ Networks file
Tutorial 4 : RBF Networks file
Past Exam Papers wth Solutions file
Formula file

Dr. J. Sodha Laboratory

An opportunity to have some fun!

Labs 1 to 5 file

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Neural Networks

Communications

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Neural Networks

Communications

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