[mlpack] Regarding the scope for a beginner in GSoC’17

[Sankalp Sanand]

Hello,
 I am a second year undergraduate student in Computer Science branch. I’m currently doing a course on Kadenze Academy , Creative Applications of Deep Learning. I wanted to ask that will it be feasible for me to work or prepare a project proposal for the project “Essential Deep Learning Modules”, since it was rated as 5/10 in difficulty level so I thought it is comparatively easier for a beginner like me. I have a good knowledge of C++, and am learning Python currently, which covers the necessary knowledge section for the given project idea. I will begin by fixing bugs and entrance level tasks first on GitHub for mlpack so that I get an idea of how the codebase is like. I had one more question, will we have to implement all of the modules or only some of it, because I think it depends on the deliverability of the particular module. Please guide me for how should I proceed further.
Thanks,
Sankalp
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://knife.lugatgt.org/pipermail/mlpack/attachments/20170221/e34652c4/attachment.html>