When you do that , you 're increasing the size of the inputs to the net. Do you have to reduce the hidden layer , or something ?
Well , so  I mean , so i it doesn't increase the number of trainings.
No , no , I 'm  I 'm just wondering about number of parameters in the net. Do you have to worry about keeping that the same , or  ?
Uh , I don't think so.