MATLAB: What values should I put in the targets whenever they’re “don’t care” values

Deep Learning Toolboxdon't care targetsdon't care valuesnan columnsnan inputsno fixunknowns nan

Good day!
I have to train a feedforward net: 6-5-6 I-H-O topology, tansig and logsig activation functions, binary values as targets.
When the value of the SIXTH target is 1, the first five values matter.
However, when the value of the SIXTH target is 0, the first five values are "DON'T CARE" values, or insignificant.
Example: 101111, 100001, 001101, 00000 0, 11111 0, 01110 0
What values should I put in these "don't care" values? Nan? 0's? 1's? Or it wouldn't matter any way? I want to remove the effect of these values in the weight adjustments during training and I'm not sure how to do that in Matlab.
How does the network process inputs with Nan values (I disabled the 'fixunknowns' proccessParam) ?
Thank you!

Best Answer

Make no changes to the net.
Just check outputs for round(y(6,j)) == 0 and act accordingly.
Hope this helps.
Thank you for formally accepting my answer.
Greg
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