Chapter 6: Feedforward mapping networks

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Presentation transcript:

Chapter 6: Feedforward mapping networks Fundamentals of Computational Neuroscience Chapter 6: Feedforward mapping networks Dec 09

Digital representation of a letter

Examples given by lookup table

The population node as perceptron

How to find the right weight values: learning

Example: OCR

Example: Boolean functions

PerceptronTrain.m

The multilayer perceptron (MLP)

The error-backpropagation algorithm

mlp.m

MLP for XOR function

MLP approximating sine function

Overfitting and underfitting

Support Vector Machine (SVM)

SVM: Kernel trick

Further readings

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