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10. Normalization
This chapter introduces a filter, Reduction Filter. From the user’s and programmer’s point of view, it means the setting of several parameters. This filter, together with the Image PreProcessing Filter and Image Processing Filters, will be passed to later layers as parameters.
If you are not interested in the details, you can skip this chapter.
The Normalization sub-layer will prepare the images for the underlying NeuralNet filters. The neural net deployed in the ImageFinder, by default, is a 100x100 array of neurons. While any size of ABM neural net can be used, when coming to a particular application, a decision has to be made. The ImageFinder uses 6 different sizes:
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10,000 neurons,
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8,100 neurons,
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6,400 neurons,
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4,900 neurons, or
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2,500 neurons.
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