Hi Vimuth,

The main objective of the "Visual Neural Network Builder" project is to
create a Neural Network UI front-end for WSO2 Machine Learner.
UI front-end will help people to quickly try out different Neural Network
configurations.

In order to get an idea about the project proposal I would like to point,
Nirmal's proposal submitted to 2011 GSOC

http://nirmalfdo.blogspot.com/2011/04/apache-tuscany-develop-simple-tool-that.html

If you need further help, please let us know.

Thanks,
Upul

On Wed, Mar 9, 2016 at 11:31 AM, Isuru Udana <[email protected]> wrote:

> [Looping project mentors]
>
> On Wed, Mar 9, 2016 at 11:11 AM, vimuth fernando <[email protected]> wrote:
>
>> Hi,
>>
>> I am a full time MSc student in the Dept. of Computer Science at
>> University of Moratuwa. I am thinking about taking part in GSOC this year
>> and saw that WSO2 has some interesting project ideas especially in the
>> Machine Learner project.
>>
>> I am interested in working on either Proposal 3 (Visual Neural Network
>> Builder) or Proposal 4 (Ensemble Methods Support for WSO2 Machine Learner).
>> I am open to working on either project.
>>
>> In Proposal 3, am i correct in understanding that the goal is to build
>> the UI that will use the algorithms implemented in spark?
>>
>> I have started to familiarize myself with the WSO2 Machine Learner using
>> the samples provided with the documentation.
>>
>> Your help in preparing a good proposal is much appreciated.
>>
>> Thank you very much.
>>
>> --
>> Vimuth Dinuka Fernando
>> Research Assistant, Department Of Computer Science and Engineering,
>> University Of Moratuwa,
>> Sri Lanka
>>
>> phone: 0777559890
>>
>>
>> _______________________________________________
>> Dev mailing list
>> [email protected]
>> http://wso2.org/cgi-bin/mailman/listinfo/dev
>>
>>
>
>
> --
> *Isuru Udana*
> Associate Technical Lead
> WSO2 Inc.; http://wso2.com
> email: [email protected] cell: +94 77 3791887
> blog: http://mytecheye.blogspot.com/
>



-- 
Upul Bandara,
Associate Technical Lead, WSO2, Inc.,
Mob: +94 715 468 345.
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