Hello Arkadiy, welcome and thanks for the introduction.
> I trained neural network (using Keras framework for Python) to play famous > game > Flappy Bird much better than a human can, that's why I am very interested in > GSOC project connected with reinforcement learning. Also I participate in > Kaggle > competitions and coded my own small library in Python with most useful > functions, such as cross-validation, parameters tuning and stacking models. That sounds really interesting, is the code somewhere so that we could take a look and probably play with it? Also, the Reinforcement learning and cross-validation project has been discussed at on the mailing list before: http://mlpack.org/pipermail/mlpack/2017-March/003095.html http://mlpack.org/pipermail/mlpack/2017-March/003098.html http://mlpack.org/pipermail/mlpack/2017-February/003087.html http://mlpack.org/pipermail/mlpack/2017-March/003212.html Note that there are many more posts on this in the mailing list archive to search for; those are only some places to get started. I hope this is helpful, Thanks, Marcus > On 21 Mar 2017, at 02:18, Arkadiy Dushatskiy <[email protected]> wrote: > > Dear developers, I am very interested in participating in GSOC-2017 by > working at one of your exciting projects. > I am a student from Moscow State University, Faculty of Computational > Mathematics and Cybernetics, currently pursuing my 1st year of a Master’s > degree in Applied Mathematics and Informatics. My main areas of interest are > Artificial Intelligence and Machine Learning. The topic of my scientific > research is GPU-accelerated neural networks. It is focused on image > recognition, I investigate how the architecture of convolutional neural > network and GPU characteristics affect the time consumption of forward > propagation for a batch of images. The main technologies I use in scientific > work are CUDA and cuDNN libraries (both for C++) for programming neural > networks and Python for results visualization. > I have experience with reinforcement learning tasks, for instance, > inspired by DeepMing articles, I trained neural network (using Keras > framework for Python) to play famous game Flappy Bird much better than a > human can, that's why I am very interested in GSOC project connected with > reinforcement learning. Also I participate in Kaggle competitions and coded > my own small library in Python with most useful functions, such as > cross-validation, parameters tuning and stacking models. So, I am also > interested in project about creating API for cross-validation and models > tuning in mlpack. > > Thank you for your attention! > > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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