For demo purposes, Neuralysis shows 6 classes of objects that are to be recognized or classified. The user provides training data based on a percentage of attributes (which could be arbitrary in a full version of the program) that consists of sample data that describes objects of each class. As the net receives this data it correlates the sample data with the class of object that is associated with it and allows the net to form a conscious-matrix on the class of objects that are used to train it.
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