MGL

MGL is an AI, ahem, machine learning library focusing on Restricted Boltzmann Machines (RBM) and their stacks called Deep Belief Networks (DBN). It can turn a DBN into a backprop network for fine-tuning. DBNs are state-of-the-art as of 2007. Backprop with gradient descent and conjugate gradient optimization is also available without ever having to touch DBNs.

For background on Boltzmann Machines see publications of Geoffrey Hinton.

MGL was written by Gabor Melis, with Ravenpack.

It can be found at http://retes.hu/~mega/git/?p=mgl.git;a=summary.

Download ASDF package from http://retes.hu/~mega/mgl/mgl-latest.tar.gz

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