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Deep Belief Net Test W/ Backprop

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Uploaded by on Mar 29, 2009

This is another simple test of how deep-belief-network principles work (like this http://www.youtube.com/watch?v=8BqELwn0biA ), this time trained with the 600 first digits of the training set of the MNIST handwritten digit database and later refined with some back-propagation. The video shows how the network performs on the novel 150 digits of the MNIST test set. For implementation I used Python with Pylab and MDP's RBM nodes. Music by Madame Sufi.

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  • Nice. Now translate the test image a few pixels and see what the result is.

  • I don't get it. Whats the point?

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