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Classification of Numbers Using Neural Networks

  • Michael Paluszek
  • Stephanie Thomas
Chapter

Abstract

Pattern recognition in images is a classic application of neural nets. This chapter builds upon the previous one by exploring multi-layer networks, which fall into the Machine Learning branch of our Autonomous Learning taxonomy. In this case, we will look at images of computer-generated digits, and the problem of identifying the digits correctly. These images will represent numbers from scanned documents. Attempting to capture the variation in digits with algorithmic rules, considering fonts and other factors, quickly becomes impossibly complex, but with a large number of examples, a neural net can readily perform the task. We allow the weights in the net to perform the job of inferring rules about how each digit may be shaped, rather than codifying them explicitly.

References

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    Nils J. Nilsson. Artificial Intelligence: A New Synthesis. Morgran Kaufmann Publishers, 1998.Google Scholar
  2. 22.
    S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach, Third Edition. Prentice-Hall, 2010.zbMATHGoogle Scholar

Copyright information

© Michael Paluszek and Stephanie Thomas  2019

Authors and Affiliations

  • Michael Paluszek
    • 1
  • Stephanie Thomas
    • 1
  1. 1.PlainsboroUSA

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