Hi Marcus, As of now, I am working on writing a test for SPSA optimizer which I have implemented... I'll try to finish it ASAP. As of now, I cannot think of any DL model good enough to replace the suggested ones... Also, as you said, lets wait until Google officials confirms :)
Regards, Rajiv On 3 February 2018 at 03:22, Marcus Edel <marcus.e...@fu-berlin.de> wrote: > Hello Rajiv, > > Nice to hear from you again how are things going? > > > I am interested in the following topics(listed in the order of interest): > > 1. Reinforcement Learning > > 2. Essential Deep Learning Modules > > 3. Particle Swarm Optimization > > > > How should I go about it? I read a few Mailing List archives for 1 and > 3. What > > should I do after that? Can I start working on the proposal submission? > > > Going through the mailing list archive is definitely a good starting > point, also > the weekly updates from Kris and Shangtong > (http://www.mlpack.org/gsocblog/index.html) could be interesting too. > > The models listed for the Essential Deep Learning Modules idea are just > suggestions, if you like to work on an interesting network model over the > summer > please feel free to start a discussion. > > A good starting point, in general, is to get familiar with the codebase, > if you > have any question please don't hesitate to ask. About the submission > that's up > to you, but note Google hasn't announced the accepted organizations yet and > there is plenty of time to prepare the proposal and get feedback. > > I hope this is helpful, let us know if we should clarify anything. > > Thanks, > Marcus > > > On 2. Feb 2018, at 16:19, Rajiv Vaidyanathan < > rajiv.vaidyanath...@gmail.com> wrote: > > > > Hi Marcus, > > > > I'm N Rajiv Vaidyanathan(github handle: rajiv2605). I have contributed > to mlpack in the past and I really like this organisation. I am very > interested in participating in GSoC. > > > > I am interested in the following topics(listed in the order of interest): > > 1. Reinforcement Learning > > 2. Essential Deep Learning Modules > > 3. Particle Swarm Optimization > > > > How should I go about it? I read a few Mailing List archives for 1 and > 3. What should I do after that? Can I start working on the proposal > submission? > > > > Thanking you. > > > > Regards, > > Rajiv > > > > _______________________________________________ > > mlpack mailing list > > mlpack@lists.mlpack.org > > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > >
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