When running my network in inference mode in my Android app, if I use the normalizer I stored with the network, when executing
reverted2 is the saved network
normalizer is the one stored with the saved network, when I print
Log.i(TAG, " - neuralNetworkloadAndRun - reverted2.toStringFull() - "+reverted2.toStringFull());
The output consists of the lat/lon pairs produced by the network.
NormalizerStandardize normalizer = new NormalizerStandardize();
the print statement after
normalizer.revertLabels reports the normalized label values, i.e. the ones that would be displayed printing the network before applying
This becomes a problem when using
samediff because I have not been able to find a way to attaching a normalizer to a network when saving a
Is there a way to do that? Am I doing something wrong?