Friday, August 6, 2010
How Neural Networks differ from Conventional Computer?
Neural Networks perform computation in a very different way than conventional computers, where a single central processing unit sequential dictates every piece of the action. Neural Networks are built from a large number of very simple processing elements that individually deal with pieces of a big problem. A processing element (PE) simply multiplies an output value (table lookup). The principles of neural computation come from the massive processing tasks, and from the adaptive nature of the parameters (weights) that interconnected the PEs.
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