<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">Hello Vinay,</div><div class=""><br class=""></div><div class="">thanks for getting in touch and welcome!</div><div class=""><br class=""></div><div class="">I would say that it’s definitely important to read the papers related to the</div><div class="">project idea, in order to understand the tradeoffs and to better design your</div><div class="">code.</div><div class=""><br class=""></div><div class="">- Going Deeper with Convolutions:</div><div class=""><span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://arxiv.org/abs/1409.4842" class="">http://arxiv.org/abs/1409.4842</a></div><div class="">- Selective Search for Object Recognition:</div><div class=""><span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf" class="">http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf</a></div><div class="">- Rethinking the Inception Architecture for Computer Vision:</div><div class=""><span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://arxiv.org/abs/1512.00567" class="">http://arxiv.org/abs/1512.00567</a></div><div class="">- Scalable Object Detection using Deep Neural Networks (multi-box):</div><div class=""><span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://arxiv.org/abs/1312.2249" class="">http://arxiv.org/abs/1312.2249</a></div><div class=""><br class=""></div><div class="">Also, if you submit the proposal, be sure to spend some time thinking about the</div><div class="">API of the proposed code and make sure that it fits in with the rest of the</div><div class="">mlpack codebase. I'm happy to look at a proposed API and give some comments.</div><div class=""><br class=""></div><div class="">I hope this is helpful, let me know if I can clarify anything.</div><div class=""><br class=""></div><div class="">Thanks,</div><div class="">Marcus</div><div class=""><br class=""></div><div><blockquote type="cite" class=""><div class="">On 11 Mar 2016, at 13:42, Vinay Chandragiri <<a href="mailto:chandragirivinay7@gmail.com" class="">chandragirivinay7@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class=""><div class="gmail_default"><span style="font-family: tahoma, sans-serif; font-size: 12.8px;" class="">Dear all,</span><br style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px" class=""><span style="font-family: arial, sans-serif; font-size: 12.8px;" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class=""><br class=""></font></span></span><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class="">This is Vinay. I am a senior undergrad majoring computer science from Indian Institute of Technology Guwahati and also a Computer Vision and Machine Learning enthusiast. <br class=""><br class=""></font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class="">I will be graduating in May 2016 and looking forward to go for a Phd in Machine Learning.<br class=""></font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class=""><br class=""></font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class="">I have worked on segmentation and Image Classification tasks for Neuronal Images and Cifar 10 respectively. I have experience working with Artificial Neural Networks and also Convolutional Neural networks.<br class=""></font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><br class=""></div><div class="gmail_default"><font size="2" class=""><font face="tahoma, sans-serif" class=""><span style="font-size:12.8px" class="">I would like to work for this year's Gsoc under your guidance on the project implementing GoogleNet. I reckon I have idea about the </span>architecture<span style="font-size:12.8px" class="">.</span></font></font></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class=""><br class=""></font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class="">It would be great if someone could help me get started.<br class=""><br class="">Thanks,<br class="">VInay</font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class="">Github: @greyshadows</font></span></span></div><div class="gmail_default" style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px"><span style="" class=""><span style="font-family:tahoma,sans-serif" class=""><font size="2" class=""><br class=""></font></span></span></div></div><img width="0" height="0" class="mailtrack-img" src="https://mailtrack.io/trace/mail/52a286cef095a721e48ad795737b9146345239af434668.png"></div>
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