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 <
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> 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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