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> And to be fair, a neural net is just a bunch of linear models joined by a non-linearity. Nobody did this before computers though. > . In that case, it's ess
by username90 6y ago
> And to be fair, a neural net is just a bunch of linear models joined by a non-linearity.
Nobody did this before computers though.
> . In that case, it's essentially stacked logistic regression, which was invented before computers.
It isn't "basically logistic regression", it is just a technique which uses logistic regressions. The full technique is ML. If you remove the ML parts it is basically just logistic regression left though.
- dryrunes 6y agoIs logistic regression not ml? Or maybe only if it's fit with gd?
- disgruntledphd2 6y agoLike, logistic regression uses a non-linearity to convert the outputs to the 0-1 scale. How does that differ from a one layer neural network? I think this would probably be a more profitable discussion if you could define Machine Learning for me.