Github user hunggpham commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-52107969
I finally see the backprop codes in the 2 for loops inside
LeastSquaresGradientANN
that calculates the gradient which is then used to update the weights by
ANNUpdater.
Thanks, Bert.
On Tue, Aug 12, 2014 at 8:54 PM, Bert Greevenbosch <[email protected]
> wrote:
> The ANN uses the existent GradientDescent from mllib.optimization for back
> propagation. It uses the gradient from the new LeastSquaresGradientANN
> class, and updates using the new ANNUpdater class.
>
> This line in ANNUpdater.compute is the backbone of the back propagation:
>
> brzAxpy(-thisIterStepSize, gradient.toBreeze, brzWeights)
>
> â
> Reply to this email directly or view it on GitHub
> <https://github.com/apache/spark/pull/1290#issuecomment-51997639>.
>
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