Why in different execution different performance comes in the Neural Network same program ?
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Why in different execution different performance comes in the Neural Network same program ?
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Accepted Answer
Greg Heath
on 8 May 2015
The state of the RNG is different. Therefore the random initial weights and random trn/val/tst data divisions are different.
For examples of initializing the RNG so that runs can be duplicated try searching on
greg rng(4151941)
greg rng(0)
greg rng('default')
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Greg Heath
on 14 May 2015
You wouldn't have to post your data for me to do your work if you had performed the searches I recommended.
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