In technical terms a machine which is using forward and backward propagation to make a approximate prediction [1] is being called a neural network and doesn't matter if I agree or not.

BTW: I use BGFS not gradient descending.

[1]: https://en.wikipedia.org/wiki/Artificial_neural_network

On Sat, Mar 7, 2015 at 9:48 PM, Markus Krötzsch <markus@semantic-mediawiki.org> wrote:
On 07.03.2015 18:21, Magnus Manske wrote:
Congratulations for this bold step towards the Singularity :-)

 Lol. The word "neural" in the name of the algorithm is infinitely more attractive and inspiring than something abstract like "Support Vector Machine", isn't it? -- although we know that both approaches are much more similar to each other than to any biological neural system. ;-) However, since this is a general mailing list, it may be fair to clarify that this is just a gradient-descent based optimization procedure that we are deadling with here, and that it has nothing to do with a "thinking" general AI. I know that you know this, but not all of our readers may ...

Cheers,

Markus




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Amir