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The method presented extends a given regression neural network to make itsperformance improve. The modification affects the learning procedure only,hence the extension may be easily omitted during evaluation without any changein prediction. It means that the modified model may be evaluated as quickly asthe original one but tends to perform better.  This improvement is possible because the modification gives better expressivepower, provides better behaved gradients and works as a regularization. Theknowledge gained by the temporarily extended neural network is contained in theparameters shared with the original neural network.  The only cost is an increase in learning time.

Improving the Performance of Neural Networks in Regression Tasks Using Drawering