[mlpack] Augmented RNNs @ GSoC'17

[Marcus Edel]

Hello Konstantin,

Since I could see anything wrong with your first mail, I answered it here:

http://knife.lugatgt.org/pipermail/mlpack/2017-February/003083.html

Thanks,
Marcus

> On 28 Feb 2017, at 11:20, Konstantin Sidorov <partobs.mdp at gmail.com> wrote:
> 
> ​​​Hi Marcus,
> First of all, sorry for the first letter. Looks like my mail client has *horribly* messed it up.
> My name is Konstantin Sidorov, and I am an undergraduate student in Astrakhan State University (Russia). I'm glad that mlpack was accepted in GSoC'17 -- as a side note, congratulations ;)
> I'm interested to work on project "Augmented Recurrent Neural Networks". I'm already familiar with deep learning. For example, recently I've implemented "Learning to play in a day" (https://arxiv.org/abs/1611.01606 <https://arxiv.org/abs/1611.01606>) for the AgentNet ("Deep Reinforcement Learning library for humans", https://github.com/yandexdataschool/AgentNet <https://github.com/yandexdataschool/AgentNet>). Here is the merged pull request: https://github.com/yandexdataschool/AgentNet/pull/88 <https://github.com/yandexdataschool/AgentNet/pull/88>. Even though my main field of interest is RL, I would be very interested in doing something new -- that is why I've chosen "Augmented RNNs".
> Of course, on such an early stage I have no detailed plan what (and how) to do -- only some ideas. In the beginning, I'm planning to implement NTM as described in arXiv paper and implement reusable benchmarking code (copy, repeat copy, n-grams).
> I would like to discuss this project more thoroughly if possible. In addition, this is my first participation in GSoC. So, excuse me if I've done something inappropriate.
> ---
> Best regards,
> Konstantin.
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