On Fri, Feb 16, 2018 at 06:33:23PM +0530, Namrata Mukhija wrote: > Hi > > I'm Namrata, final year IT undergrad from NSIT, India. I'm new to the > community, and would love to contribute to mlpack and participate in GSoC > 2018. > > I have gone through the ideas list for GSoC 2018 and implementing VAEs is > the project I'm really interested in followed by Essential Deep Learning > modules project. How should I go about it? > > I have gone through get involved guide would love to get to know some > pointers on the steps for getting started with the VAE project > particularly.
Hi Namrata, Welcome to the community! The VAE project will be mentored by Sumedh, so he probably has more input on the specific project, but I would say a great way to get started would be to get familiar with the deep learning code in mlpack. Eugene Freyman wrote a really nice implementation of a network that learns the MNIST digits for a Kaggle competition in the models repository: https://github.com/mlpack/models/ You could play with that, as well as the tests in src/mlpack/tests/, to learn how the framework works and get some experience with it. That should help guide the design of VAEs. I hope this helps---let me know if I can clarify anything I've written. Thanks! Ryan -- Ryan Curtin | "I like this game." [email protected] | - Coach _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
