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) 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 < [email protected]> 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 <[email protected]> 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 < >> [email protected]> 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 >> > [email protected] >> > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack >> >> > >
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