Integrating Pytave and Nnet

[Enrico Bertino]

Hi all,

in recent weeks I have been working on the package nnet, analyzing different ways to integrate Tensorflow in order to develop the deep learning part in a more powerful manner. The most effective way seems to be using Pytave for direct calling python functions and scripts. There should be no big problems for objects mapping since neural networks treat mostly low dimensional arrays. This week I will test some cases with 4D arrays and basic networks. 

Only two questions:

I heard that the package would have to be integrated into the core removing the dependence from boost, is it still the case?

I saw that there is no documentation for the integration of python in octave (but only for the other "direction"). I suppose that there is some work in progress, is it possible to have some information on what will be implemented?

In any case thank you to the maintainers, I find the package quite useful! I'll be glad to report bugs or help to fix if needed

Best Regards,

Enrico Bertino