Il giorno 23 feb 2020, alle ore 17:38, Atharva Dubey < address@hidden> ha scritto:
On Sun, Feb 23, 2020 at 9:46 PM Carlo De Falco < address@hidden> wrote:
> Il giorno 23 feb 2020, alle ore 10:49, Atharva Dubey <address@hidden> ha scritto:
>
> Hello All,
> I am Atharva Dubey, currently in my 3rd year of engineering from BITS PILANI PILANI
> I have been an avid user of octave for the past 2 years mainly for image processing, pattern recognition, and signal processing. I ventured into the field of machine and deep learning and quickly grasped it with python and sometimes with c++ with all my robotics
projects. I recently had to use Matlab for deep learning research and it really hurt octave not having any DL/ML any offial package.
> I propose to develop a Deep Learning package using a c++ backend for octave with cuda support for accelerated computing. The API operating on the user part will be user quite easy to use, using array like declarations build layers of the model just like
matlab.
>
> I wanted feedback and wanted to discuss about this project for GSoC 2020
> Thanks and Regards
Hi,
There has been a previous project trying to build an Octave interface to TensorFlow via Pytave [1].
As Pytave has since evolved to become Pythonic [2], one approach worth considering would be to pick-up
where that project had left and complete it using Pythonic.
c.
[1]
https://gsocnnet.blogspot.com/
[2]
https://gitlab.com/mtmiller/octave-pythonic
Sure,
I will check it out. Sorry I did not know about the previous attempts and try to get a hold of them.
I have one more approach in mind, which would be using MLPack and integrate it with the octave framework. MLpack is completely written in C++, it will therefore give us more flexibility to integrate it with octave.
I will check out pythonic and will discuss maybe how to go about it and continue the project.
Thank and Regards
Atharva Dubey
Hi,
Please avoid top posting and always include the maintainers list in CC for this discussion.
c.
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