Hello Rajiv, > I initially had 3 topics of choice(in the previous mail), but after going > through the mailing list archive, mlpack blog and other links provided by > you, I > have decided to go ahead with "ESSENTIAL DEEP LEARNING MODULES". I like the > list > of suggested algorithms. I'll also see if I can think of anything. Please let > me > know if you have any suggestions in mind.
Sounds good, we will update the project description in the next days and probably add more suggestions. > So, how should I go about from here? Is there any open ticket to work on? > Should > I start thinking about the proposal? If you don't mind I'd like to finish the open PR first, before opening another PR, how does this sound? About the proposal, if you like you can start working on it, the most important part is the timeline. I hope anything I said is helpful. Thanks, Marcus > On 13. Feb 2018, at 08:07, Rajiv Vaidyanathan <rajiv.vaidyanath...@gmail.com> > wrote: > > Hi Marcus, > > Firstly, congratulations for making into GSoC 2018! > > I initially had 3 topics of choice(in the previous mail), but after going > through the mailing list archive, mlpack blog and other links provided by > you, I have decided to go ahead with "ESSENTIAL DEEP LEARNING MODULES". I > like the list of suggested algorithms. I'll also see if I can think of > anything. Please let me know if you have any suggestions in mind. > > So, how should I go about from here? Is there any open ticket to work on? > Should I start thinking about the proposal? > > Also, I thought I should to finish the SPSA > optimizer(https://github.com/mlpack/mlpack/pull/1153 > <https://github.com/mlpack/mlpack/pull/1153>) before I start working on a new > issue. I am stuck up in the implementation of the test code. I have posted > the latest error in the comments. It would be great if you could help me out. > > Regards, > Rajiv > > On 3 February 2018 at 20:37, Rajiv Vaidyanathan > <rajiv.vaidyanath...@gmail.com <mailto:rajiv.vaidyanath...@gmail.com>> wrote: > > > 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 > <mailto: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 > <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 > > <mailto: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 <mailto:mlpack@lists.mlpack.org> > > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > > <http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack> > > > > > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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