Hello Agrawal, welcome and thanks for your interest in the project. Have you searched through the list archives for other messages about the Essential Deep Learning project?
http://mlpack.org/pipermail/mlpack/ There is a lot of information that has been written about this project over the past years. In general, to be successful at this project, you should have a good knowledge of deep learning; i.e., you should be familiar with the way deep neural networks are typically built and trained, and certainly you should be familiar with the individual components that you plan to implement. You are welcome to propose to implement any or all of the four modules that are currently listed (RBM, RBFN, BRN, GAN), or you can even propose other modules that mlpack does not currently have implemented. We can always discuss other interesting ideas, that you have in mind. Maybe these pages are also helpful: http://www.mlpack.org/involved.html http://www.mlpack.org/gsoc.html There are also some issues open in the Github issue tracker, and any contributions of new techniques or efficiency improvements for existing implementations are always welcome. I hope this is helpful, let us know if you have any more questions. Thanks, Marcus > On 2 Mar 2017, at 07:07, Kushagra Agrawal <[email protected]> wrote: > > Hi, > > I am Kushagra Agrawal, I'm pursuing my bachelors in Electronics and > Communications Engineering from BITS Pilani, Hyderabad Campus. I'm interested > in participating in GSoC 17 with mlpack. > > I went through the project ideas, and the project "Essential Deep Learning > Modules" really caught my interest. I have worked on a project regarding Deep > Learning for Video Classification that involved CNN's. While I was working on > that, I had also read about RBM's and RNN's > > Please guide me on how should I start and how should I go about if I wish to > participate in GSoC 17 with mlpack. > > Regards, > Kushagra Agrawal > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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