DSEBM

Implementation of Deep Structured Energy Based Models(http://proceedings.mlr.press/v48/zhai16.pdf).

Usage

Create a dataset which has inlier images and outlier images.

 python dataset mnist_splitter.py --inlier 2

 python train.py

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
data		data
dataset		dataset
out		out
.DS_Store		.DS_Store
README.md		README.md
__init__.py		__init__.py
__init__.pyc		__init__.pyc
config.py		config.py
config.pyc		config.pyc
eval.py		eval.py
metrics.py		metrics.py
metrics.pyc		metrics.pyc
mnist.py		mnist.py
mnist.pyc		mnist.pyc
mnist_splitter.py		mnist_splitter.py
network.py		network.py
network.pyc		network.pyc
train.py		train.py