TengdaHan / GAN-TensorFlow

Implementation of GAN in tensorflow

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GAN-Tensorflow

Introduction

Implementation of GAN (Generative Adversarial Nets) in Tensorflow

Tasks:

  • Simple vanila GAN on MNIST

    • Two Fully-Connected layers for both Discriminator and Generator.
    • Training result in gif:
  • Simple vanila GAN on MNIST

    • Small ConvNets for both Disctiminator and Generator.
    • Training result in gif:

Reference

Generative Adversarial Networks (2014) by Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio.

Understanding the difficulty of training deep feedforward neural networks (2009) by Xavier Glorot, Yoshua Bengio.

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Implementation of GAN in tensorflow


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