Github user bgreeven commented on the pull request: https://github.com/apache/spark/pull/1290#issuecomment-51997639 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)
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