<p dir="ltr">Also please can you let me know the best time to ping, when I can expect quick replies here in the list or at irc.<br>
Sorry for all the trouble.</p>
<p dir="ltr">Thanks, <br>
Abhinav<br>
</p>
<div class="gmail_quote">On Mar 20, 2016 4:51 PM, "Marcus Edel" <<a href="mailto:marcus.edel@fu-berlin.de">marcus.edel@fu-berlin.de</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word"><div>Hello Abhinav,</div><div><br></div><div>we are working on a proper tutorial, right now your best choice is to take a</div><div>look at the tests:</div><div><br></div><div>src/mlpack/tests/feedforward_network_test.cpp</div><div>src/mlpack/tests/convolutional_network_test.cpp</div><div>src/mlpack/tests/recurrent_network_test.cpp</div><div>src/mlpack/tests/activation_functions_test.cpp</div><div><br></div><div>Let me know if I can clarify anything.</div><div><br></div><div>Thanks</div><div>Marcus</div><div><br></div><div><blockquote type="cite"><div>On 20 Mar 2016, at 06:50, Abhinav Gupta <<a href="mailto:abhinavgupta440@gmail.com" target="_blank">abhinavgupta440@gmail.com</a>> wrote:</div><br><div><div dir="ltr"><div><div><div>Hii Marcus,<br></div> I'm looking for examples on how to implement neural networks using mlpack. I tried searching but all I could come across was the documentation. Please can you share few links on how to use mlpack in implementing neural networks.<br><br></div>Thanks,<br></div>Abhinav<br></div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, Mar 19, 2016 at 4:38 PM, Marcus Edel <span dir="ltr"><<a href="mailto:marcus.edel@fu-berlin.de" target="_blank">marcus.edel@fu-berlin.de</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hello Abhinav,<br>
<br>
your background is definitely suited for the project. Also, we encourage<br>
everyone who wishes to apply for this project, try to compile the source code<br>
and explore the source code, especially the neural network code.<br>
<br>
I guess it would also be helpful to take a look at some of the mailing list<br>
discussions: <a href="https://mailman.cc.gatech.edu/pipermail/mlpack/" rel="noreferrer" target="_blank">https://mailman.cc.gatech.edu/pipermail/mlpack/</a><br>
<br>
Let me know if I can clarify anything.<br>
<br>
Thanks<br>
Marcus<br>
<div><div><br>
> On 18 Mar 2016, at 22:04, Abhinav Gupta <<a href="mailto:abhinavgupta440@gmail.com" target="_blank">abhinavgupta440@gmail.com</a>> wrote:<br>
><br>
> Hello everyone,<br>
> This is Abhinav Gupta from Indian Institute of Technology - Banaras Hindu University, India. I'm interested in contributing to mlpack's code through GSOC 2016.<br>
><br>
> I have a sound development background.<br>
><br>
> - Interned at Amazon in summers 2015<br>
> - Built a social graph on Neo4j for my college.<br>
> - Made a cloud based intelligent mass mailing platform<br>
> - Qualified for ACM regionals<br>
> - Worked on NLP ( wrote rules for English to Hindi text translation).<br>
><br>
> No projects in machine learning yet as I just started a month back, but I do have a good experience of coding in C++. I'm sure I'll catch up pretty quick. I'm willing to work full time on the project.<br>
><br>
> I would love to contribute to the project "Essential Deep Learning Modules" if no one is working on it currently.<br>
> Please let me know if it's feasible.<br>
><br>
> Thanks,<br>
> Abhinav<br>
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