记录本人的深度学习实践过程。PS 本人是GAN新手 😭
tutorial and reference 参考文献或者程序
Tutorial
- Generative Adversarial Networks (GANs) Ian Goodfellow, OpenAI Research Scientist NIPS 2016 tutorial Barcelona, 2016-12-4 Goodfellow 2016 NIPS 的tutorial
-
https://chenrudan.github.io/blog/2016/11/12/gan.html 简述 GAN 2016.12 with code
Paper - 2014 NIPS Generative adversarial nets
- 2015 DCGAN ( Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks) Radford, Alec, Luke Metz, and Soumith Chintala. arXiv preprint arXiv:1511.06434 (2015).
- 2016 Reed, Scott, et al. "Generative Adversarial Text to Image Synthesis." International Conference on Machine Learning. 2016. GANs 文字到图像的合成
- 2016 （2017 AAAI）SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
- 2017 Arjovsky, Martin, Soumith Chintala, and Léon Bottou. "Wasserstein gan." arXiv preprint arXiv:1701.07875 (2017). 关于 W-GAN的介绍很多，比如https://zhuanlan.zhihu.com/p/25071913
- 生成式对抗网络 GAN 的研究进展与展望 2017 03 自动化学报
Code
- https://github.com/ofirnachum/sequence_gan referred release
- https://github.com/LantaoYu/SeqGAN official release seqgan 论文作者的GitHub
- https://myurasov.github.io/2017/09/24/wasserstein-gan-keras.html?r keras 实现的wassertein GAN
- keras 官方的 improved WGAN
https://github.com/farizrahman4u/keras-contrib/blob/master/examples/improved_wgan.py - https://github.com/carpedm20/DCGAN-tensorflow tensorflow DCGAN
- 机器之心的GAN介绍，包括网页推理过程介绍和jupyter notebook 的程序实践。
程序在“https://github.com/jiqizhixin/ML-Tutorial-Experiment/tree/master/Experiments
介绍在https://www.jiqizhixin.com/articles/2017-10-1-1
