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A Generative Adversarial Network that generates a random face that does not exist

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Face-Generation-GAN

A Generative Adversarial Network that generates a random face that does not exist

Requirements/Libraries

  • Python 3.6.9
  • Tensorflow 2.0
  • Keras 2.2.4
  • Numpy 1.15.4
  • Matplotlib 3.0.2
  • OpenCV 4.2.0

Training information

acc/loss

Training information(numerical) can be found in the json file with the following fields

  • discriminator loss
  • discriminator accuracy
  • adversarial loss

Training and Generation:

The instructions are in the Jupyter Notebook

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A Generative Adversarial Network that generates a random face that does not exist

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