TensorFlow Generative Model Examples

  • DCGAN
  • CycleGAN
  • Pix2Pix
  • Neural style transfer
  • Adversarial FGSM
  • Autoencoder
  • Autoencoder Denoising
  • Autoencoder Anomaly detection
  • Convolutional Variational Autoencoder (VAE)
  • DeepDream

DCGAN

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CycleGAN

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Pix2Pix

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Neural style transfer

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Adversarial FGSM

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Autoencoder

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Autoencoder — Denoising

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Autoencoder — Anomaly detection

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Convolutional Variational Autoencoder (VAE)

  • p(x|z): the logit prediction of the decoder will pass through a sigmoid function to predict this probability.
  • p(z): p(z) is assumed to have a standard normal distribution. Given a sampled z, we find the corresponding pdf value for z under this distribution.
  • q(z|x): Given the distribution predicted by the encoder, we compute the corresponding pdf value for the sampled z.

DeepDream

Credits and References

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