Hello Marcus,
My name is Konstantin Sidorov, and I am an undergraduate student in Astrakhan State University (Russia). I’m glad to know 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 fairly familiar with deep learning. For example, recently I implemented optimality tightening from “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.
As you see, I’m quite familiar with deep learning and Theano. 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, for example, I’m planning to implement NTMs as described in arXiv paper and implement *reusable* benchmarking code (e.g., 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 in advance if I’ve done something inappropriate.
---
Best Regards,
Konstantin.
_______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
