[mlpack] Augmented RNNs @ GSoC'17

[Konstantin Sidorov]

​​​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)
for the AgentNet ("Deep Reinforcement Learning library for humans",
https://github.com/yandexdataschool/AgentNet). Here is the merged pull
request: 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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