How to set target vector (with large data set) for neural network?

How can I classify targets with a large set of data/values (37539840 x 1)? I have tried using the Neural Network but I am unable to set the target class using 1 and 0 given the large data/values.

[Greg Heath]

Not enough information

Answer 1

[Greg Heath]

Regardless of data values, use MAPSTD or ZSCORE and training data to normalize inputs.

For c classes, the target matrix should contain columns of the unit matrix eye(c). The relationship between integer class indices 1:c and target vectors are given by functions ind2vec and vec2ind.

You have so much data, you only need a small fraction of it to design a net, or even multiple nets.

Hope this helps.

Thank you for formally accepting my answer

Greg