A. Engel (Germany Otto-von-Guericke-Universitat Magdeburg), C. Van den Broeck (Belgium Limburgs Universitair Centrum)

Statistical Mechanics of Learning

• Broschiertes Buch

Produktbeschreibung

Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 344
• Erscheinungstermin: 1. April 2010
• Englisch
• Abmessung: 244mm x 170mm x 19mm
• Gewicht: 626g
• ISBN-13: 9780521774796
• ISBN-10: 0521774799
• Artikelnr.: 21518466

Inhaltsangabe

1. Getting started
2. Perceptron learning - basics
3. A choice of learning rules
4. Augmented statistical mechanics formulation
5. Noisy teachers
6. The storage problem
7. Discontinuous learning
8. Unsupervised learning
9. On-line learning
10. Making contact with statistics
11. A bird's eye view: multifractals
12. Multilayer networks
13. On-line learning in multilayer networks
14. What else?
Appendix A. Basic mathematics
Appendix B. The Gardner analysis
Appendix C. Convergence of the perceptron rule
Appendix D. Stability of the replica symmetric saddle point
Appendix E. 1-step replica symmetry breaking
Appendix F. The cavity approach
Appendix G. The VC-theorem.