In the 17th Century, Leibniz Dreamed of a Machine That Could Calculate Ideas

Re:In the 17th Century, Leibniz Dreamed of a Machine That Co... by YeGoblynQueenne on Wednesday November 06, 2019 @04:53AM (#21461082)

Well, the original artificial neuron by Pitts and McCulloch was a propositional logic circuit- but that strain of research, too, has fallen by the wayside in favour of neural nets that can be trained with backpropagation of error.

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Re:In the 17th Century, Leibniz Dreamed of a Machine That Co... by goldenkey on Wednesday November 06, 2019 @05:02AM (#21461121)

One can train binary NN via backprop by using qbits. Samples are taken, and backprop can be done as if the result was X% 1 and (1-X)% 0. It can be noisy and slow but it is a way to do it.

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