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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