Neural Networks manipulation in k fold method
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so after using the k-fold method (for validating and testing each subset K times) is there a way to manipulate the k "subnetworks" created? i there a way to make these k networks visible and accesible? Is my question meaningfull? i mean what happenes in k-fold is creating k networks or not?
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Greg Heath
2013-5-6
0 个投票
The simplest solution is
y = mean( net1(x)+net2(x)+...netk(x));
Any effort to combine weights into one net has to take into consideration the different default normalizations. Therefore, all of the data would have to be standardized or normalized a priori using the same mean/stdv or min/max and the default normalization disabled.
Hope this helps
Thank you for formally accepting my answer
Greg
更多回答（1 个）
laplace laplace
2013-5-6
0 个投票
5 个评论
Greg Heath
2013-5-6
Yes. Test on all of the data and choose the best.
laplace laplace
2013-5-14
Greg Heath
2013-5-14
No special command. Just treat it as as if you only trained one net.
laplace laplace
2013-6-27
Greg Heath
2018-12-19
All of the input data
Greg
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