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Quick Tensorflow 2.0 implementation of InfoGAN trained on MNIST.

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InfoGAN_Tensorflow2.0

Quick Tensorflow 2.0 implementation of InfoGAN trained on MNIST. Did this mainly to try out Tensorflow 2.0~

Training

loss training_process

Varying categorical latent code

categorical

Varying 1st continuous latent code

con1

Varying 2nd continuous latent code

con2

Random Generation

random

References

  1. https://machinelearningmastery.com/how-to-develop-an-information-maximizing-generative-adversarial-network-infogan-in-keras/
  2. https://github.com/SeonbeomKim/TensorFlow-InfoGAN
  3. https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/infogan/infogan.py

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