Hello Sagar, welcome and thanks for the interest.
> I titled the project as "Generative Neural Networks - RBM and GAN". Any > thoughts > on this? Sounds good, note that the focus of the project is to take a look at recent improvements/ideas, meaning that implementing e.g. standard RBM might be an option but it should be implemented with the extensions in mind. > Can I also have some pointers on writing a proposal on this topic? I went > through the guidelines on the wiki, but since this project involves > implementing > two algorithms, I would like to know the best way to go about writing a good > proposal There are a lot of good proposals out there that might be helpful, the Student Manual (https://developers.google.com/open-source/gsoc/resources/manual) also links to some good examples. I hope this is helpful, let us know if you have any further questions. Thanks Marcus > On 25 Mar 2017, at 20:16, Sagar B Hathwar <[email protected]> wrote: > > Hello > > I looked at the Essential Deep Learning Modules under GSoC project ideas. > Since generative models are a hot field today, I felt that implementing > Restricted Boltzmann Machine(plus Deep Belief Networks) and Generative > Adversarial Networks (for unsupervised learning) would be a good combination > since both are generative but quite different. I went through the resources > provided under the topic and also additional papers on it. Both these > algorithms are very interesting. > > I titled the project as "Generative Neural Networks - RBM and GAN". Any > thoughts on this? > > Can I also have some pointers on writing a proposal on this topic? I went > through the guidelines on the wiki, but since this project involves > implementing two algorithms, I would like to know the best way to go about > writing a good proposal > > Thanks > Sagar > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
