A simple implementation of deep belief networks
Python
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.gitignore initial Jan 21, 2014
README.org better docs? Aug 18, 2014
__init__.py working Jan 22, 2014
deepnet.py initial parameterization, inits May 5, 2015

README.org

Deepnet: Simple Unsupervised Binary Deep Belief Networks

Deepnet is a simple implementation of binary deep belief networks built on top of numpy. The focus is on unsupervised generative learning, so there is no ‘predict’ method, only a ‘sample’ method.

Usage

	 import numpy as np
	 import deepnet
	 X = np.random.rand(30, 200)
	 dbn = deepnet.dbn(30, [100, 100])
	 dbn.fit(X)
	 dbn.sample(10)