GitHub - arghasarkar/face-generation-using-gans: Use GANs with normalization techniques like dropouts, batch normalization along with having a low variance in kernel weight initialization, achieve realistic images of faces trained on the CelebA dataset. Images also have been generated of hand written digits after being trained on the MNIST dataset. This would be useful for generating training images where enough labelled data is unavailable.

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Use GANs with normalization techniques like dropouts, batch normalization along with having a low variance in kernel weight initialization, achieve realistic images of faces trained on the CelebA dataset. Images also have been generated of hand written digits after being trained on the MNIST dataset. This would be useful for generating training …

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
dlnd_face_generation.html		dlnd_face_generation.html
dlnd_face_generation.ipynb		dlnd_face_generation.ipynb
floyd_requirements.txt		floyd_requirements.txt
helper.py		helper.py
problem_unittests.py		problem_unittests.py
samples.pkl		samples.pkl