Course Notes

  1. Glossary of Notation: (postscript) (pdf)

  2. Introduction: (postscript) (pdf)

  3. Bayes Decision Theory: (postscript) (pdf)

  4. An Alternative View of Bayes Optimal Decision Function: (postscript) (pdf)

  5. The Multi-Layer Perceptron / Neural Network: (postscript) (pdf)

  6. Neural Networks and Back Propagation, A Summary: (postscript) (pdf)

    Course Overview: The Learning Problem to Neural Networks: (postscript) (pdf)

  7. Analysis of Generalization: (postscript) (pdf)

  8. The Approximation-Generalization Tradeoff: (postscript) (pdf)

  9. Optimization: (postscript) (pdf)

  10. Nearest Neighbor Classification: (postscript) (pdf)