#Implementation of Adversarial Autoenocder (arXiv : http://arxiv.org/abs/1511.05644)
Python codes for training Adversarial Autoenocder with Theano.
You can train example models of Adversarial Autoencoder for MNIST on the ipython notebook.
See https://github.com/takerum/adversarial_autoencoder/blob/master/train_adv_autoenc.ipynb .
- The hidden code z of the trained adversarial autoencoder with 2-D uniform prior distribution.
- The input x sampled from the trained adversarial autoencoder with 8-D gaussian prior distribution.
##Required libraries: python 2.7, theano 0.7.0
##References: [1] Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly and Ian Goodfellow. Adversarial Autoenocders. arXiv preprint (http://arxiv.org/abs/1511.05644).