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When to Consider Neural Networks

Input is high-dimensional discrete or real-valued (e.g. raw sensor input) Output is discrete or real valued Output is a vector of values Possibly noisy data Form of target function is unknown Human readability of result is unimportant

Examples:

Speech phoneme recognition [Waibel]

Image classification [Kanade, Baluja, Rowley]

Financial prediction



Don Patterson 2001-12-13