1. GAN入门教程|从0开始,手把手教你学会最火的神经网络(学习笔记)
2. 训练GAN的16个技巧
3. tensorflow实现的一些经典gan网络(github代码合集)
3.1GAN(Generative Adversarial Nets)
3.2LSGAN(Least Squares GANs)
3.3WGAN(Wasserstein GAN)
3.4WGAN_GP(improved Training of Wasserstein GANs)
3.5DRAGAN(on convergence and stability of gans)
3.6CGAN(Conditional Adversarial Nets)(1)(2)
3.7infoGAN(Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets)
3.8ACGAN(Conditional Image Synthesis With Auxiliary Classifier GANs)
3.9EBGAN(Energy-based Generative Adversarial Network)
3.10BEGAN(Boundary-Seeking Generative Adversarial Networks)(1)(2)
4.cycleGAN
4.1tensorflow代码
4.2带你理解CycleGAN,并用TensorFlow轻松实现
5.DCGAN
5.1译文
5.2挺好的tensorflow复现代码