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
