[mlpack] "Essential Deep Learning Module" @ GSoC'17

[Ryan Curtin]

On Tue, Feb 28, 2017 at 11:40:56PM +0530, Lakshya Agrawal wrote:
> Hello everyone,
> 
> I am Lakshya Agrawal, an undergraduate student studying in International
> Institute of Information Technology, Hyderabad, India. I have been a part
> of mlpack from over a month and have worked on issue numbers "#839 (Add
> tests for GaussianDistribution::Train)" and I am presently working on issue
> "#844 (Error while using "mlpack::data::Load")" and "#773(User rvalue
> reference to set a given reference tree in RangeSearch)".
> 
> I am more focused towards being a long term contributor and right now I
> hope to get some exposure to the community via GSoC since it would be a
> great starting point.
> 
> I have gone through the project ideas and I would like to work on
> "Essential Deep Learning Module". As no relevant tickets are open at the
> moment, can someone kindly suggest me on how to get started.

Hi Lakshya,

Have you searched through the list archives for other messages about the
deep learning modules project?  There is a lot of information that has
been written about this project over the past years.

It is really difficult to keep enough issues open for everyone to work
on, so I would suggest that you dig around in the codebase and see if
you can expose any issues of your own.  In fact that is exactly what you
did with #848.  I would love to see that issue get finally resolved, so
I might suggest that you spend some time there.

Thanks,

Ryan

-- 
Ryan Curtin    | "Excuse me.  I don't mean to impose, but I am the
ryan at ratml.org | Ocean."  - Bobby