Freitag, 25. August 2017

Bias Regularisation



title Bias Regularisation
class class vsoc.training.RegularisationTraining$
learningRate 1.0E-04
trainingData playerpos_x A 500000
batchSizeTrainingDataRelative 0.10
testData playerpos_x B 1000
iterations 200
optAlgo STOCHASTIC_GRADIENT_DESCENT
numHiddenNodes 50, 100, 200
regularisation Some(Regularisation(0.0,0.0,2.0,2.0)), Some(Regularisation(0.0,0.0,1.0,1.0)), Some(Regularisation(0.0,0.0,0.001,0.001)), Some(Regularisation(0.0,0.0,1.0E-5,1.0E-5)), Some(Regularisation(0.0,0.0,0.0,0.0))
seed 3915220284829678

Conclusion

Expected that bias regularisation could fix the wrong bias for nets with more than 100 intermediate nodes, but there was no effect.
Taking 100 intermediate nodes leads so far to the best results.

Further Work

Find a way to learn the correct bias.

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