Installing with anaconda/spider about cvnn HOT 5 CLOSED

Dear @SantaTitular,

First of all, thank you for using my library and your interest in my work. It is really appreciated.

I believe the issue is that the output activation function (linear) just outputs a complex number, however, categorical cross-entropy is only defined for real numbers. Here you have 2 options:

1. Use an activation function that although receiving a complex number outputs a real one. Documentation here
2. Or use a loss function that supports complex numbers. Currently I only implemented one of those and it's here

Hope it helps! let me know if the issue is solved.

from cvnn.

Dead @NEGU93 ,

Thanks alot for the response!

Although I did manage to run the code, my problem was the implementation of the library in the anaconda environment. For instance, I replicated the example that you mentioned here, and I got several module errors (e.g., ModuleNotFoundError: No module named 'cvnn.losses' ). Afterwards I just imported the cvnn library (which I installed with conda install -c negu93 cvnn ) and I only have the following modules:

Do you think that this might be an environment issue or an incompatibility with some version of spyder, tensorflow, numpy, etc.? I tried reinstalling and ran into several conflicts between libraries and still could not have some of the modules. Am I doing anything wrong?

Thanks in advance!

from cvnn.

Conda version is outdated and does not have the losses module. I recommend you install cvnn with pip (within the conda environment, there is no problem with that).

from cvnn.

All your suggestions worked wonderfully, thank you so much, your library will be a tremendous help!

Edit: Feel free to close the thread!

from cvnn.

Great! I'm very glad I could help. I will then close the issue.

from cvnn.