[mlpack] GSOC 2018 - Deep Learning Modules

[Hassan Mahmood]

Hello Marcus,
For GSOC, I was aiming to do Stacked GANs and Bidirectional RNNs in
"Essential Deep Learning Modules" project.
Besides these two, there is "Improved Techniques for Training GANs" part.
So, I was thinking of doing just these two: SGANs and Improved Techniques.
This will be better for me, because I will be working on GANs all the time.
Moreover, I will be able to focus more on the efficiency of the implemented
model rather than focusing on implementing more Deep Neural Networks.

Can I do that for GSOC or should I implement BRNNs too?
Any advice or suggestion is appreciated.

For API,

   - My implementation of SGANs will go under
   src/mlpack/methods/ann/sgan.hpp
   - The header files will also be referenced in CMakeLists file.
   - Then the tests for the module will go
   under src/mlpack/tests/gan_test.cpp.

Please correct me if I am wrong.
Thanks.

Regards,
Hassan Mahmood
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