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Pattern recognition in images is a classic application of neural nets. In this case, we will look at images of computer-generated digits and identify 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.
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go back to reference S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach, Third Edition. Prentice-Hall, 2010. S. Russell and P. Norvig. Artificial Intelligence: A Modern Approach, Third Edition. Prentice-Hall, 2010.
- Classification of Numbers Using Neural Networks
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- Chapter 9