Hello Vivek, > Please accept my apologies for the late reply. This week at college has been > quite a busy one.
no worries we all know it's sometimes hard to find time. > Following your advice, I went through previous year discussions on these two > ideas and was > able to find some interesting conversations on both of them. I came across > some papers [1, 2] > which were recommended as a good read to gain some theoretical knowledge of > the proposed > models. The papers are definitely a good start, also I've added some papers to the Essential Deep Learning Modules project idea, that might be interesting too. > About that -- it'd be great help if Marcus could summarise a bit about his > thoughts on the current > state and near-future changes that are expected in this module as it is > closely to Deep Learning > Modules project idea and has direct effect on its future shape. I will open an issue, probably in the next days, where I'll point out some "milestones" that needs to be addressed before we include the code into the release. Thanks, Marcus > On 4 Feb 2017, at 15:20, Vivek Pal <[email protected]> wrote: > > Thanks Marcus and Ryan for your replies. > > Please accept my apologies for the late reply. This week at college has been > quite a busy one. > > Following your advice, I went through previous year discussions on these two > ideas and was > able to find some interesting conversations on both of them. I came across > some papers [1, 2] > which were recommended as a good read to gain some theoretical knowledge of > the proposed > models. > > I'm going to spend next few days reading those papers and also will try to > share with you some > new ideas/thoughts as they manifest for some constructive feedback and > discussion thereupon. > > Also, I noticed that PR #831 was finally merged. I think it's also good time > for me to start making > a broader sense out of it to understand the current state of ANN modules. > > About that -- it'd be great help if Marcus could summarise a bit about his > thoughts on the current > state and near-future changes that are expected in this module as it is > closely to Deep Learning > Modules project idea and has direct effect on its future shape. > > Also, looking forward to the updated ideas wiki page. :) > > [1] https://mailman.cc.gatech.edu/pipermail/mlpack/2016-March/000842.html > <https://mailman.cc.gatech.edu/pipermail/mlpack/2016-March/000842.html> > [2] http://knife.lugatgt.org/pipermail/mlpack/2016-March/002578.html > <http://knife.lugatgt.org/pipermail/mlpack/2016-March/002578.html> > > Thanks, > Vivek Pal > > On Tue, Jan 31, 2017 at 1:15 AM, Marcus Edel <[email protected] > <mailto:[email protected]>> wrote: > Hello Vivek, > > >> Yes, I'll look through the list to gain some insights. I also noticed > >> that there's one open PR (#831) with major changes for ANN module > >> lined up. Since, it looks like it will be merged soon can you comment > >> on this year's focus for the deep learning modules idea after this PR > >> is finally merged or will it remain same as last year's of > >> implementing RBM, DBN etc.? > > > > I'm not the mentor for the deep learning code so I can't say much there, > > but I know that Marcus has merged it in the past few days. I think when > > the ideas page gets updated over the next week or two, there will be a > > lot more information on the goals this year for the types of projects we > > are interested in. > > I'm the one who came up with the 'Essential Deep Learning Modules' project > idea. > The focus of the Essential Deep Learning Modules' project will slightly shift > and will be concentrated on more recent ideas. It doesn't mean an > implementation > of e.g Deep Belief Networks or Radial Basis Function Networks isn't welcome, > we > will definitely look over the code if someone opens a PR. As Ryan already said > we will update the ideas page over the next week or two and add a bunch of > interesting information. > > Thanks, > Marcus > > > > On 30 Jan 2017, at 19:47, Ryan Curtin <[email protected] > > <mailto:[email protected]>> wrote: > > > > On Wed, Jan 25, 2017 at 11:23:20PM +0530, Vivek Pal wrote: > >>> I'm still willing to mentor the CF idea. If you search the mailing list > >>> archives, I seem to remember there being a lot of discussion about the > >>> idea last year, and maybe you can find some insights there. > >> > >> It's great that CF idea is still open. I will certainly look into the > >> list archives to gather some useful information regarding the project. > >> If I'm not wrong this idea was not one of the selected project last > >> year, so I think it'd be worth finding out what was lacking. May be > >> you want to add some input on that? > > > > We got very many good proposals last year (in total we received over > > 100!) and we had only 6 slots. If I remember right, the CF code did not > > receive too many proposals. It's possible that last year, there was > > simply more interest in other projects from both the mentor and the > > student side. > > > > I'll be going through the Ideas List soon and try and think of good > > projects for improving the CF code. > > > >>> In the end, anything that helps the CF code get easier to use or > >>> more functional so that users can easily build a recommendation > >>> system would be a great project. > >> > >> Will the focus be on making existing CF code more functional this year > >> as compared to last year's focus on implementing alternatives to k-NN > >> based CF? > > > > I'm not picky---both could be good projects. Or even a project that > > factored in both ideas could be good also. In the end, if I mentor a > > project on the CF code, I am looking for a clear proposal that will have > > a tangible benefit. This could take the form of improvements to the > > existing code or adding new approaches for collaborative filtering. > > > >>> I also remember a lot of discussion about the deep learning modules > >>> project; I'm sure you can find a lot about that one in the archives too. > >> > >> Yes, I'll look through the list to gain some insights. I also noticed > >> that there's one open PR (#831) with major changes for ANN module > >> lined up. Since, it looks like it will be merged soon can you comment > >> on this year's focus for the deep learning modules idea after this PR > >> is finally merged or will it remain same as last year's of > >> implementing RBM, DBN etc.? > > > > I'm not the mentor for the deep learning code so I can't say much there, > > but I know that Marcus has merged it in the past few days. I think when > > the ideas page gets updated over the next week or two, there will be a > > lot more information on the goals this year for the types of projects we > > are interested in. > > > > But, also, keep in mind that you are always welcome to propose your own > > project idea! I have seen some great proposals along those lines, where > > the student has identified a problem (or something lacking inside > > mlpack) and then developed a proposal that addresses that problem. > > Yannis' project last year on LSH tuning is a great example of this type > > of approach. > > > > I hope this is helpful---let me know if I can clarify anything. > > > > Thanks, > > > > Ryan > > > > -- > > Ryan Curtin | "Happy premise #2: There is no giant foot trying > > [email protected] <mailto:[email protected]> | to squash me." - Kit Ramsey > > _______________________________________________ > > mlpack mailing list > > [email protected] <mailto:[email protected]> > > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > > <http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack> > >
_______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
