I'm curious if learning from features in the complex domain is better than learning from magnitude spectra or other common compromises made when using comp valued training data. I read somewhere once that there was a noticeable difference in models trained using a 2 real numbers vs actually using a complex number. The literature surrounding complex valued ANNs is... sparse.
I'm not familiar with the C code portions of Theano. Where would I start looking to get familiar with this? I'm guessing at present there's no code to represent a complex matrix in a GPUArray? Or if there is basic things like broadcasting, multiplying, etc will need to be implemented first. Gradients would then follow. Then complex valued models would be possible... > > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
