[mlpack] GSoC 2017 : Getting Started.

[Marcus Edel]

Hello Agneet,

thanks for getting in touch and welcome!

To be successful at any of the two projects, you should have a good knowledge of
deep learning; i.e., you should be familiar with the way neural networks are
typically built and trained, and certainly you should be familiar with the
individual components that you plan to implement. In addition, each project
comes with a bunch of interesting references that might help to get familiar
with the ideas behind each model.

Also, make sure to take a look at:

http://www.mlpack.org/involved.html
http://www.mlpack.org/gsoc.html

Once you get comfortable with the basic design of mlpack, you can take a look at
the list of open issues on Github and maybe you can find an easy and interesting
bug to solve.

I hope that helps, let me know if I can clarify anything.

Thanks,
Marcus

> On 24 Feb 2017, at 00:38, Agneet Chatterjee <agneet257 at gmail.com> wrote:
> 
> 
> Hello everyone,
> 
> I'm a second year CS Undergrad from Jadavpur University India.
> My interest lie in Deep Learning and it's implementation in solving real life problems. I've worked with various DL Models. Ranging from CNN' to RNN's ( LSTM, Vanilla RNN's) to Autoencoders and have an impending interest in them.
> 
> I'd really like to contribute to mlpack as part of GSoC 2017. Could someone get me started with the project ideas and it's implementation?
> 
> Thank you, 
> Agneet Chatterjee.
> 
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> mlpack at lists.mlpack.org
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