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Face Generation with Generative Adversarial Networks

This project aims to teach better understanding of GANs. The notebook starts with training a GAN on simple MNIST data set to generate numbers. Later we mature the network and train on face images to teach network to learn to generate face images. The project was completed as a part of Udacity deep learning course.

Installation and Running

Software Requirements:

  • Python >= 2.7
  • Tensorflow
  • Jupyter notebook

Running the notebook

jupyter notebook dlnd_face_generation.ipynb 

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Digits and Face Generation with Generative Adversarial Networks

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