Deep-Learning-Study
Things covered in Team Data Science of YBIGTA
Our plan in this summer vacation:
- Review basic & main papers regarding GAN
(1) Generative Adversarial Networks - Ian Goodfellow
(2) NIPS 2016 Tutorial : Generative Adversarial Networks - Ian Goodfellow
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- Build some toymodels of GAN
(1) Generating Gaussian Distribution with GAN
(2) Generating MNIST Images with GAN
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Review some state-of-arts papers regarding GAN - TBD
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Apply GAN and build a product regarding GAN - TBD