[mlpack] GSOC - GoogleNet

[Marcus Edel]

Hello Vinay,

thanks for getting in touch and welcome!

I would say that it’s definitely important to read the papers related to the
project idea, in order to understand the tradeoffs and to better design your
code.

- Going Deeper with Convolutions:
	http://arxiv.org/abs/1409.4842
- Selective Search for Object Recognition:
	http://koen.me/research/pub/uijlings-ijcv2013-draft.pdf
- Rethinking the Inception Architecture for Computer Vision:
	http://arxiv.org/abs/1512.00567
- Scalable Object Detection using Deep Neural Networks (multi-box):
	http://arxiv.org/abs/1312.2249

Also, if you submit the proposal, be sure to spend some time thinking about the
API of the proposed code and make sure that it fits in with the rest of the
mlpack codebase. I'm happy to look at a proposed API and give some comments.

I hope this is helpful, let me know if I can clarify anything.

Thanks,
Marcus

> On 11 Mar 2016, at 13:42, Vinay Chandragiri <chandragirivinay7 at gmail.com> wrote:
> 
> Dear all,
> 
> 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. 
> 
> I will be graduating in May 2016 and looking forward to go for a Phd in Machine Learning.
> 
> 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.
> 
> 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 architecture.
> 
> It would be great if someone could help me get started.
> 
> Thanks,
> VInay
> Github: @greyshadows
> 
> 
> _______________________________________________
> mlpack mailing list
> mlpack at cc.gatech.edu
> https://mailman.cc.gatech.edu/mailman/listinfo/mlpack

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