Deep-Learning-Study

Things covered in Team Data Science of YBIGTA

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Our plan in this summer vacation:

1. Review basic & main papers regarding GAN

    (1) Generative Adversarial Networks - Ian Goodfellow

    (2) NIPS 2016 Tutorial : Generative Adversarial Networks - Ian Goodfellow

    ...

2. Build some toymodels of GAN

    (1) Generating Gaussian Distribution with GAN

    (2) Generating MNIST Images with GAN

     ...

3. Review some state-of-arts papers regarding GAN - TBD   

4. Apply GAN and build a product regarding GAN - TBD