Complex data type error with TensorFlow Functional API about cvnn HOT 2 CLOSED

Hello,

The problem is that keras losses does not work with complex numbers. For this you have 2 options:

• Use the activation functions that although having complex input it has real output (documented here)
• Use my CVNN loss definitions (documented here)

On another note, the example depicted is a small U-NET shaped network designed for segmentation (the output is actually another image, in this case, size 24x24x4) but your labels are for classification tasks, I recommend you implement your own neural network for the task at hand or at least add a flatten and a dense layer at the end.

from cvnn.

@NEGU93 Thank you for the quick and useful response! Admittedly I was a little quick with piecing together your ReadMe file's example just to test out the package, my environment, and get the equivalent of a Hello World function running before I started tailoring it to my application. The pointers and info about handling complex values at the activation and loss functions were what I needed. Thank you again so much for the help!!

from cvnn.