example/bayesian-methods/README.md - mxnet - Git at Google

 Bayesian Methods
 ================

 This folder contains examples related to Bayesian Methods.

 We currently have *Stochastic Gradient Langevin Dynamics (SGLD)* [<cite>(Welling and Teh, 2011)</cite>](http://www.icml-2011.org/papers/398_icmlpaper.pdf)
 and *Bayesian Dark Knowledge (BDK)* [<cite>(Balan, Rathod, Murphy and Welling, 2015)</cite>](http://papers.nips.cc/paper/5965-bayesian-dark-knowledge).

 **sgld.ipynb** shows how to use MXNet to repeat the toy experiment in the original SGLD paper.

 **bdk.ipynb** shows how to use MXNet to implement the DistilledSGLD algorithm in Bayesian Dark Knowledge.

 **bdk_demo.py** contains scripts (more than the notebook) related to Bayesian Dark Knowledge. Use `python bdk_demo.py -d 1 -l 2 -t 50000` to run classification on MNIST.
	Bayesian Methods
	================

	This folder contains examples related to Bayesian Methods.

	We currently have Stochastic Gradient Langevin Dynamics (SGLD) [<cite>(Welling and Teh, 2011)</cite>](http://www.icml-2011.org/papers/398_icmlpaper.pdf)
	and Bayesian Dark Knowledge (BDK) [<cite>(Balan, Rathod, Murphy and Welling, 2015)</cite>](http://papers.nips.cc/paper/5965-bayesian-dark-knowledge).

	sgld.ipynb shows how to use MXNet to repeat the toy experiment in the original SGLD paper.

	bdk.ipynb shows how to use MXNet to implement the DistilledSGLD algorithm in Bayesian Dark Knowledge.

	bdk_demo.py contains scripts (more than the notebook) related to Bayesian Dark Knowledge. Use `python bdk_demo.py -d 1 -l 2 -t 50000` to run classification on MNIST.