Question

How do neural networks differ from conventional computing?​

Answer 1

Another fundamental difference between traditional computers and artificial neural networks is the way in which they function. Based upon the way they function, traditional computers have to learn by rules, while artificial neural networks learn by example, by doing something and then learning from it.

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Answer 2

Answer:

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Neural networks learn by example. They are more fault tolerant because they are always able to respond and small changes in input do not normally cause a change in output. Because of their parallel architecture, high computational rates are achieved..