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drago's Issues

Can you explain the output of the example code?

I'm a bit confused with the outputs I'm getting from the example code. I would have expected single classifier outputs based on the inputs but I fear I don't understand what's being inputted into the learn function.

Is this right?

net.Learn([][][]float64{
    {{variable1, variable2}, {class}},
})

If so, why isn't the prediction output a predicted class?

Error values are way high

Is the network.currentErr value the average error? If not can we make it exported so we can calculate the current error of the network?

I'm getting error values like 154.8035667621243 after 10000 iterations.

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