Dr. Mark Humphrys

School of Computing. Dublin City University.

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Alternatives to Supervised Learning
Notes/Neural/alternatives.html

The "Back-propagation" learning algorithm
Notes/Neural/backprop.html

The Back-propagation algorithm
Notes/Neural/backprop.ref.html

Chaotic functions
Notes/Neural/chaos.html

Neural Net Exercise - Binary Encoder Network
Notes/Neural/ex.encoder.html

Neural Net Exercise - X and O recogniser
Notes/Neural/ex.xando.html

Infinite weights/thresholds are bad
Notes/Neural/infinite.html

Machine Learning
Notes/Neural/ml.html

Multi-layer Neural Networks
Notes/Neural/multi.neural.html

Notation
Notes/Neural/notation.html

Machine Learning - Reference
Notes/Neural/ref.html

Continuous Output - The sigmoid function
Notes/Neural/sigmoid.html

Single-layer Neural Networks (Perceptrons)
Notes/Neural/single.neural.html

Specialisation
Notes/Neural/specialisation.html

Using the neural network as a function approximator
Notes/Neural/Code/code.f.html

Basic neural network
Notes/Neural/Code/code.neural.html

Sample code for Neural Networks
Notes/Neural/Code/



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