
| 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.
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